Overview

Brought to you by YData

Dataset statistics

Number of variables	134
Number of observations	500
Missing cells	14085
Missing cells (%)	21.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	523.6 KiB
Average record size in memory	1.0 KiB

Variable types

Text	19
Categorical	106
Numeric	5
Unsupported	4

Alerts

`CWSU-12 - Issues (Bottled Water) - If yes, select all that apply` has constant value "delivery during wet season"	Constant
`CWSU-12 - Issues (Bottled Water) - Turbidity` has constant value "0"	Constant
`AWTP - Max Price - Commercial - 100` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`AWTP - Max Price - Commercial - 160` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`AWTP - Max Price - Commercial - 200` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness` is highly overall correlated with `AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support`	High correlation
`AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support` is highly overall correlated with `AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness` and 1 other fields	High correlation
`AWTP-14 - Factors affecting Alt Sources - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`AWTP-15 - Desalination Awareness - No` is highly overall correlated with `AWTP-15 - Desalination Awareness - Yes`	High correlation
`AWTP-15 - Desalination Awareness - Yes` is highly overall correlated with `AWTP-15 - Desalination Awareness - No`	High correlation
`AWTP-16 - Desalinated Willingness - No` is highly overall correlated with `AWTP-16 - Desalinated Willingness - Yes`	High correlation
`AWTP-16 - Desalinated Willingness - Yes` is highly overall correlated with `AWTP-16 - Desalinated Willingness - No`	High correlation
`AWTP-17 - Desalinated Premium Pay - Fixed tariff` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`AWTP-17 - Desalinated Premium Pay - Pay per use` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others`	High correlation
`AWTP-17 - Desalinated Premium Pay - Seasonal` is highly overall correlated with `AWTP-20 - Budget - Others` and 3 other fields	High correlation
`AWTP-17 - Desalinated Premium Pay - Yes` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others`	High correlation
`AWTP-19 - Max Price - Residential - 100` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 14 other fields	High correlation
`AWTP-19 - Max Price - Residential - 50` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 15 other fields	High correlation
`AWTP-19 - Max Price - Residential - 80` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 14 other fields	High correlation
`AWTP-19 - Max Price - Residential - Others` is highly overall correlated with `AWTP - Max Price - Commercial - 100` and 58 other fields	High correlation
`AWTP-20 - Budget - 3000 - 6000` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 6 other fields	High correlation
`AWTP-20 - Budget - 6000 - 9000` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 6 other fields	High correlation
`AWTP-20 - Budget - 9000 - 15000` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 7 other fields	High correlation
`AWTP-20 - Budget - Others` is highly overall correlated with `AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support` and 45 other fields	High correlation
`Barangay` is highly overall correlated with `AWTP - Max Price - Commercial - 160` and 10 other fields	High correlation
`CWSU-1 - Usage - Cleaning & Sanitation` is highly overall correlated with `GI - Business Location/Address` and 1 other fields	High correlation
`CWSU-1 - Usage - Food preparation` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-1 - Usage - Landscaping/Irrigation` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-1 - Usage - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 7 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - Costs` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 8 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - N/A` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - No` is highly overall correlated with `CWSU-10 - Issues (Deep Well) - Yes`	High correlation
`CWSU-10 - Issues (Deep Well) - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - Salinity` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - Smell` is highly overall correlated with `AWTP-20 - Budget - Others` and 1 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - Supply interruption` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - Taste` is highly overall correlated with `AWTP-20 - Budget - Others`	High correlation
`CWSU-10 - Issues (Deep Well) - Turbidity` is highly overall correlated with `AWTP-20 - Budget - Others` and 2 other fields	High correlation
`CWSU-10 - Issues (Deep Well) - Yes` is highly overall correlated with `CWSU-10 - Issues (Deep Well) - No` and 1 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Costs` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - N/A` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 4 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - No` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 5 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Salinity` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Smell` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 6 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Supply interruption` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 7 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Taste` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Turbidity` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 9 other fields	High correlation
`CWSU-11 - Issues (Truck Water) - Yes` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - Costs` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - N/A` is highly overall correlated with `CWSU-12 - Issues (Bottled Water) - No`	High correlation
`CWSU-12 - Issues (Bottled Water) - No` is highly overall correlated with `CWSU-12 - Issues (Bottled Water) - N/A`	High correlation
`CWSU-12 - Issues (Bottled Water) - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - Salinity` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 10 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - Smell` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 9 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - Supply interruption` is highly overall correlated with `AWTP-20 - Budget - Others` and 2 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - Taste` is highly overall correlated with `AWTP-20 - Budget - Others` and 2 other fields	High correlation
`CWSU-12 - Issues (Bottled Water) - Yes` is highly overall correlated with `AWTP-20 - Budget - Others` and 1 other fields	High correlation
`CWSU-13 - Interruptions (days) - Thrice a week` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-13 - Interruptions (days) - Twice a week` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-13 - Interruptions (days) - We have continuous water supply everyday` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-2 - Treatment` is highly overall correlated with `Barangay`	High correlation
`CWSU-3 - Current Sources - Deep Well (owned)` is highly overall correlated with `CWSU-8 - Monthly Costs - Truck Delivery`	High correlation
`CWSU-3 - Current Sources - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 8 other fields	High correlation
`CWSU-3 - Current Sources - Truck Delivery Services (5 m3)` is highly overall correlated with `CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)` and 1 other fields	High correlation
`CWSU-4 - Primary Drinking Source - Deep Well (owned)` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others`	High correlation
`CWSU-4 - Primary Drinking Source - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-4 - Primary Drinking Source - Truck Delivery Services (5 m3)` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-4 - Primary Drinking Source - gals` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-5 - Ave Demand (in cbm)` is highly overall correlated with `AWTP-20 - Budget - Others` and 6 other fields	High correlation
`CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 14 other fields	High correlation
`CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)` is highly overall correlated with `AWTP - Max Price - Commercial - 100` and 33 other fields	High correlation
`CWSU-7 - Peak Month - End` is highly overall correlated with `CWSU-10 - Issues (Deep Well) - Costs` and 1 other fields	High correlation
`CWSU-7 - Peak Month - Start` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 3 other fields	High correlation
`CWSU-8 - Monthly Costs - Less than PhP 1,000` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others`	High correlation
`CWSU-8 - Monthly Costs - Others:` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 6 other fields	High correlation
`CWSU-8 - Monthly Costs - PhP 10,000 and above` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-8 - Monthly Costs - PhP 3,000 - PhP 5,000` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-8 - Monthly Costs - PhP 5,000 - PhP 10,000` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-8 - Monthly Costs - Truck Delivery` is highly overall correlated with `AWTP - Max Price - Commercial - 100` and 42 other fields	High correlation
`CWSU-9 - Issues (Tap Water) - N/A` is highly overall correlated with `CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)`	High correlation
`CWSU-9 - Issues (Tap Water) - Others` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 4 other fields	High correlation
`CWSU-9 - Issues (Tap Water) - Salinity` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-9 - Issues (Tap Water) - Smell` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-9 - Issues (Tap Water) - Supply interruption` is highly overall correlated with `CWSU-9 - Issues (Tap Water) - Yes`	High correlation
`CWSU-9 - Issues (Tap Water) - Taste` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 1 other fields	High correlation
`CWSU-9 - Issues (Tap Water) - Turbidity` is highly overall correlated with `AWTP-19 - Max Price - Residential - Others` and 2 other fields	High correlation
`CWSU-9 - Issues (Tap Water) - Yes` is highly overall correlated with `CWSU-9 - Issues (Tap Water) - Supply interruption`	High correlation
`Classification` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 15 other fields	High correlation
`GI - Business Location/Address` is highly overall correlated with `AWTP-17 - Desalinated Premium Pay - Seasonal` and 13 other fields	High correlation
`GI - Date` is highly overall correlated with `Barangay` and 3 other fields	High correlation
`GI - Interviewer` is highly overall correlated with `AWTP-17 - Desalinated Premium Pay - Seasonal` and 8 other fields	High correlation
`GI - Members` is highly overall correlated with `AWTP-20 - Budget - 3000 - 6000` and 11 other fields	High correlation
`GI - Operating Hours - End` is highly overall correlated with `CWSU-11 - Issues (Truck Water) - Turbidity` and 2 other fields	High correlation
`GI - Operating Hours - Start` is highly overall correlated with `CWSU-11 - Issues (Truck Water) - Turbidity` and 3 other fields	High correlation
`GI - Remarks (Small, Medium, Large, Residential)` is highly overall correlated with `AWTP-19 - Max Price - Residential - 100` and 7 other fields	High correlation
`GI - Type of Business` is highly overall correlated with `AWTP-20 - Budget - Others` and 7 other fields	High correlation
`GI - Operating Hours - Start` is highly imbalanced (50.9%)	Imbalance
`GI - Operating Hours - End` is highly imbalanced (52.9%)	Imbalance
`CWSU-1 - Usage - Landscaping/Irrigation` is highly imbalanced (74.8%)	Imbalance
`CWSU-1 - Usage - Others` is highly imbalanced (94.7%)	Imbalance
`CWSU-3 - Current Sources - Others` is highly imbalanced (89.4%)	Imbalance
`CWSU-4 - Primary Drinking Source - Tap Water (Water District etc.)` is highly imbalanced (60.5%)	Imbalance
`CWSU-4 - Primary Drinking Source - Truck Delivery Services (5 m3)` is highly imbalanced (68.9%)	Imbalance
`CWSU-4 - Primary Drinking Source - Others` is highly imbalanced (82.6%)	Imbalance
`CWSU-8 - Monthly Costs - PhP 3,000 - PhP 5,000` is highly imbalanced (63.4%)	Imbalance
`CWSU-8 - Monthly Costs - PhP 5,000 - PhP 10,000` is highly imbalanced (76.7%)	Imbalance
`CWSU-8 - Monthly Costs - PhP 10,000 and above` is highly imbalanced (74.0%)	Imbalance
`CWSU-8 - Monthly Costs - Truck Delivery` is highly imbalanced (67.1%)	Imbalance
`CWSU-8 - Monthly Costs - Others:` is highly imbalanced (82.6%)	Imbalance
`CWSU-9 - Issues (Tap Water) - Salinity` is highly imbalanced (84.7%)	Imbalance
`CWSU-9 - Issues (Tap Water) - Taste` is highly imbalanced (82.6%)	Imbalance
`CWSU-9 - Issues (Tap Water) - Smell` is highly imbalanced (77.6%)	Imbalance
`CWSU-9 - Issues (Tap Water) - Turbidity` is highly imbalanced (91.9%)	Imbalance
`CWSU-9 - Issues (Tap Water) - Others` is highly imbalanced (91.9%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Supply interruption` is highly imbalanced (59.1%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Salinity` is highly imbalanced (84.7%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Taste` is highly imbalanced (72.2%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Smell` is highly imbalanced (71.4%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Turbidity` is highly imbalanced (78.6%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Costs` is highly imbalanced (96.2%)	Imbalance
`CWSU-10 - Issues (Deep Well) - Others` is highly imbalanced (79.6%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Yes` is highly imbalanced (74.9%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Supply interruption` is highly imbalanced (89.4%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Salinity` is highly imbalanced (93.3%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Taste` is highly imbalanced (93.3%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Smell` is highly imbalanced (94.7%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Turbidity` is highly imbalanced (96.2%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Costs` is highly imbalanced (89.4%)	Imbalance
`CWSU-11 - Issues (Truck Water) - Others` is highly imbalanced (93.3%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Yes` is highly imbalanced (59.1%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - N/A` is highly imbalanced (50.0%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Supply interruption` is highly imbalanced (87.0%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Salinity` is highly imbalanced (96.2%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Taste` is highly imbalanced (76.7%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Smell` is highly imbalanced (94.7%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Costs` is highly imbalanced (85.9%)	Imbalance
`CWSU-12 - Issues (Bottled Water) - Others` is highly imbalanced (89.4%)	Imbalance
`CWSU-13 - Interruptions (days) - Once a week` is highly imbalanced (64.9%)	Imbalance
`CWSU-13 - Interruptions (days) - Twice a week` is highly imbalanced (75.8%)	Imbalance
`CWSU-13 - Interruptions (days) - Thrice a week` is highly imbalanced (87.0%)	Imbalance
`AWTP-14 - Factors affecting Alt Sources - Others` is highly imbalanced (87.0%)	Imbalance
`AWTP-17 - Desalinated Premium Pay - Fixed tariff` is highly imbalanced (74.0%)	Imbalance
`AWTP-17 - Desalinated Premium Pay - Seasonal` is highly imbalanced (72.2%)	Imbalance
`AWTP - Max Price - Commercial - 200` is highly imbalanced (56.4%)	Imbalance
`AWTP - Max Price - Commercial - 100` is highly imbalanced (64.2%)	Imbalance
`AWTP-19 - Max Price - Residential - 80` is highly imbalanced (65.6%)	Imbalance
`AWTP-20 - Budget - 3000 - 6000` is highly imbalanced (76.7%)	Imbalance
`AWTP-20 - Budget - 6000 - 9000` is highly imbalanced (85.9%)	Imbalance
`AWTP-20 - Budget - 9000 - 15000` is highly imbalanced (88.2%)	Imbalance
`GI - Interviewer` has 124 (24.8%) missing values	Missing
`GI - Remarks (Small, Medium, Large, Residential)` has 31 (6.2%) missing values	Missing
`GI - Business Name/Residential Name/Contact number` has 42 (8.4%) missing values	Missing
`GI - Business Location/Address` has 112 (22.4%) missing values	Missing
`GI - Type of Business` has 197 (39.4%) missing values	Missing
`GI - No. of Employees` has 251 (50.2%) missing values	Missing
`GI - Operating Hours - Start` has 178 (35.6%) missing values	Missing
`GI - Operating Hours - End` has 178 (35.6%) missing values	Missing
`CWSU-1 - Usage - Specify` has 498 (99.6%) missing values	Missing
`GI - Members` has 389 (77.8%) missing values	Missing
`CWSU-3 - Current Sources - (If others, please specify)` has 491 (98.2%) missing values	Missing
`CWSU-4 - Primary Drinking Source - (If others, please specify)` has 486 (97.2%) missing values	Missing
`CWSU-5 - Ave Demand (in cbm)` has 286 (57.2%) missing values	Missing
`CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)` has 458 (91.6%) missing values	Missing
`CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)` has 354 (70.8%) missing values	Missing
`CWSU-6 - Actual Use (m3 / gal) - Truck Delivery Services (5 m3)` has 464 (92.8%) missing values	Missing
`CWSU-6 - Actual Use (m3 / gal) - Bottled water (5 gallons)` has 222 (44.4%) missing values	Missing
`CWSU-6 - Actual Use (m3 / gal) - Others (gallons)` has 488 (97.6%) missing values	Missing
`CWSU-7 - Peak Month - Start` has 151 (30.2%) missing values	Missing
`CWSU-7 - Peak Month - End` has 151 (30.2%) missing values	Missing
`CWSU-8 - Monthly Costs - Water Bottles` has 376 (75.2%) missing values	Missing
`CWSU-8 - Monthly Costs - Truck Delivery` has 425 (85.0%) missing values	Missing
`CWSU-8 - Monthly Costs - If others, input here` has 488 (97.6%) missing values	Missing
`CWSU-9 - Issues (Tap Water) - If others, input here` has 492 (98.4%) missing values	Missing
`CWSU-10 - Issues (Deep Well) - If others, input here` has 484 (96.8%) missing values	Missing
`CWSU-11 - Issues (Truck Water) - If others, input here` has 496 (99.2%) missing values	Missing
`CWSU-12 - Issues (Bottled Water) - If yes, select all that apply` has 499 (99.8%) missing values	Missing
`CWSU-12 - Issues (Bottled Water) - If others, input here` has 494 (98.8%) missing values	Missing
`CWSU-13 - Interruptions (days) - Others` has 457 (91.4%) missing values	Missing
`CWSU-13 - Interruptions (days) - How many hours per day do you experience water interruption?` has 459 (91.8%) missing values	Missing
`AWTP-14 - Factors affecting Alt Sources - If others, input here` has 497 (99.4%) missing values	Missing
`AWTP-17 - Desalinated Premium Pay - If yes, in what payment structure` has 500 (100.0%) missing values	Missing
`AWTP-19 - Max Price - Commercial - Others` has 477 (95.4%) missing values	Missing
`AWTP-19 - Max Price - Residential - 50` has 360 (72.0%) missing values	Missing
`AWTP-19 - Max Price - Residential - 80` has 360 (72.0%) missing values	Missing
`AWTP-19 - Max Price - Residential - 100` has 360 (72.0%) missing values	Missing
`AWTP-19 - Max Price - Residential - Others` has 488 (97.6%) missing values	Missing
`AWTP-20 - Budget - Others` has 450 (90.0%) missing values	Missing
`AWTP-21 - Concerns` has 363 (72.6%) missing values	Missing
`CWSU-6 - Actual Use (m3 / gal) - Truck Delivery Services (5 m3)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CWSU-6 - Actual Use (m3 / gal) - Bottled water (5 gallons)` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CWSU-9 - Issues (Tap Water) - Costs` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`AWTP-17 - Desalinated Premium Pay - If yes, in what payment structure` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2025-07-05 17:34:12.326990
Analysis finished	2025-07-05 17:35:59.030409
Duration	1 minute and 46.7 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

GI - Code
Text

Distinct	497
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Length

Max length	8
Median length	7
Mean length	6.62
Min length	5

Characters and Unicode

Total characters	3310
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	494 ?
Unique (%)	98.8%

Sample

1st row	BI-1R
2nd row	BI-2R
3rd row	BI-3R
4th row	BI-4R
5th row	BI-5R

Value	Count	Frequency (%)
biii-51c	2	0.4%
bii-12c	2	0.4%
biii-54c	2	0.4%
bi-2r	1	0.2%
tan-1c	1	0.2%
sev-53c	1	0.2%
sev-54c	1	0.2%
sev-55c	1	0.2%
sev-56c	1	0.2%
sev-57c	1	0.2%
Other values (487)	487	97.4%

Most occurring characters

Value	Count	Frequency (%)
-	500	15.1%
C	438	13.2%
I	305	9.2%
R	241	7.3%
A	202	6.1%
1	177	5.3%
B	145	4.4%
V	110	3.3%
2	99	3.0%
3	94	2.8%
Other values (17)	999	30.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3310	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	500	15.1%
C	438	13.2%
I	305	9.2%
R	241	7.3%
A	202	6.1%
1	177	5.3%
B	145	4.4%
V	110	3.3%
2	99	3.0%
3	94	2.8%
Other values (17)	999	30.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3310	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	500	15.1%
C	438	13.2%
I	305	9.2%
R	241	7.3%
A	202	6.1%
1	177	5.3%
B	145	4.4%
V	110	3.3%
2	99	3.0%
3	94	2.8%
Other values (17)	999	30.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3310	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	500	15.1%
C	438	13.2%
I	305	9.2%
R	241	7.3%
A	202	6.1%
1	177	5.3%
B	145	4.4%
V	110	3.3%
2	99	3.0%
3	94	2.8%
Other values (17)	999	30.2%

Barangay
Categorical

High correlation

Distinct	24
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

SEVILLA	67
BARANGAY III	57
CARLATAN	57
LINGSAT	39
CATBANGEN	32
Other values (19)	248

Length

Max length	15
Median length	11
Mean length	8.714
Min length	4

Characters and Unicode

Total characters	4357
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BARANGAY I
2nd row	BARANGAY I
3rd row	BARANGAY I
4th row	BARANGAY I
5th row	BARANGAY I

Common Values

Value	Count	Frequency (%)
SEVILLA	67	13.4%
BARANGAY III	57	11.4%
CARLATAN	57	11.4%
LINGSAT	39	7.8%
CATBANGEN	32	6.4%
BARANGAY I	31	6.2%
BARANGAY IV	23	4.6%
PORO	17	3.4%
PAGDARAOAN	17	3.4%
TANQUI	16	3.2%
Other values (14)	144	28.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
barangay	135	20.5%
sevilla	77	11.7%
iii	57	8.6%
carlatan	57	8.6%
lingsat	49	7.4%
iv	33	5.0%
catbangen	32	4.9%
i	31	4.7%
poro	27	4.1%
pagdaraoan	27	4.1%
Other values (8)	134	20.3%

Most occurring characters

Value	Count	Frequency (%)
A	900	20.7%
I	401	9.2%
N	348	8.0%
G	255	5.9%
L	240	5.5%
R	238	5.5%
	169	3.9%
T	168	3.9%
B	167	3.8%
Y	149	3.4%
Other values (26)	1322	30.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4357	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	900	20.7%
I	401	9.2%
N	348	8.0%
G	255	5.9%
L	240	5.5%
R	238	5.5%
	169	3.9%
T	168	3.9%
B	167	3.8%
Y	149	3.4%
Other values (26)	1322	30.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4357	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	900	20.7%
I	401	9.2%
N	348	8.0%
G	255	5.9%
L	240	5.5%
R	238	5.5%
	169	3.9%
T	168	3.9%
B	167	3.8%
Y	149	3.4%
Other values (26)	1322	30.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4357	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	900	20.7%
I	401	9.2%
N	348	8.0%
G	255	5.9%
L	240	5.5%
R	238	5.5%
	169	3.9%
T	168	3.9%
B	167	3.8%
Y	149	3.4%
Other values (26)	1322	30.3%

Classification
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

Commercial	360
Residential	140

Length

Max length	11
Median length	10
Mean length	10.28
Min length	10

Characters and Unicode

Total characters	5140
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Residential
2nd row	Residential
3rd row	Residential
4th row	Residential
5th row	Residential

Common Values

Value	Count	Frequency (%)
Commercial	360	72.0%
Residential	140	28.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
commercial	360	72.0%
residential	140	28.0%

Most occurring characters

Value	Count	Frequency (%)
m	720	14.0%
e	640	12.5%
i	640	12.5%
a	500	9.7%
l	500	9.7%
o	360	7.0%
c	360	7.0%
r	360	7.0%
C	360	7.0%
R	140	2.7%
Other values (4)	560	10.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5140	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
m	720	14.0%
e	640	12.5%
i	640	12.5%
a	500	9.7%
l	500	9.7%
o	360	7.0%
c	360	7.0%
r	360	7.0%
C	360	7.0%
R	140	2.7%
Other values (4)	560	10.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5140	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
m	720	14.0%
e	640	12.5%
i	640	12.5%
a	500	9.7%
l	500	9.7%
o	360	7.0%
c	360	7.0%
r	360	7.0%
C	360	7.0%
R	140	2.7%
Other values (4)	560	10.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5140	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
m	720	14.0%
e	640	12.5%
i	640	12.5%
a	500	9.7%
l	500	9.7%
o	360	7.0%
c	360	7.0%
r	360	7.0%
C	360	7.0%
R	140	2.7%
Other values (4)	560	10.9%

GI - Date
Categorical

High correlation

Distinct	12
Distinct (%)	2.4%
Missing	5
Missing (%)	1.0%
Memory size	4.0 KiB

06/06/2025	120
06/07/2025	88
06/10/2025	86
06/09/2025	77
07/06/2025	53
Other values (7)	71

Length

Max length	10
Median length	10
Mean length	9.9939394
Min length	7

Characters and Unicode

Total characters	4947
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	07/06/2025
2nd row	07/06/2025
3rd row	07/06/2025
4th row	07/06/2025
5th row	07/06/2025

Common Values

Value	Count	Frequency (%)
06/06/2025	120	24.0%
06/07/2025	88	17.6%
06/10/2025	86	17.2%
06/09/2025	77	15.4%
07/06/2025	53	10.6%
09/06/2025	18	3.6%
10/06/2025	18	3.6%
06/08/2025	13	2.6%
11/06/2025	10	2.0%
08/06/2025	6	1.2%
Other values (2)	6	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
06/06/2025	120	24.2%
06/07/2025	88	17.8%
06/10/2025	86	17.4%
06/09/2025	77	15.6%
07/06/2025	53	10.7%
09/06/2025	18	3.6%
10/06/2025	18	3.6%
06/08/2025	13	2.6%
11/06/2025	10	2.0%
08/06/2025	6	1.2%
Other values (2)	6	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	1469	29.7%
/	989	20.0%
2	989	20.0%
6	615	12.4%
5	495	10.0%
7	142	2.9%
1	134	2.7%
9	95	1.9%
8	19	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4947	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1469	29.7%
/	989	20.0%
2	989	20.0%
6	615	12.4%
5	495	10.0%
7	142	2.9%
1	134	2.7%
9	95	1.9%
8	19	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4947	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1469	29.7%
/	989	20.0%
2	989	20.0%
6	615	12.4%
5	495	10.0%
7	142	2.9%
1	134	2.7%
9	95	1.9%
8	19	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4947	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1469	29.7%
/	989	20.0%
2	989	20.0%
6	615	12.4%
5	495	10.0%
7	142	2.9%
1	134	2.7%
9	95	1.9%
8	19	0.4%

GI - Interviewer
Categorical

High correlation Missing

Distinct	25
Distinct (%)	6.6%
Missing	124
Missing (%)	24.8%
Memory size	4.0 KiB

John Rey Plaza	42
Mary Josie Fontanillla	31
Francis Jucar	27
Jeanette Corpuz	26
Mary Jane Castro	24
Other values (20)	226

Length

Max length	23
Median length	20
Mean length	16.218085
Min length	13

Characters and Unicode

Total characters	6098
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.5%

Sample

1st row	Mary Josie Fontanillla
2nd row	Mary Josie Fontanillla
3rd row	Mary Josie Fontanillla
4th row	Mary Josie Fontanillla
5th row	Mary Josie Fontanillla

Common Values

Value	Count	Frequency (%)
John Rey Plaza	42	8.4%
Mary Josie Fontanillla	31	6.2%
Francis Jucar	27	5.4%
Jeanette Corpuz	26	5.2%
Mary Jane Castro	24	4.8%
Johncy Nisperos	24	4.8%
Trisha Cacdac	23	4.6%
Ardee Agustin	23	4.6%
Arvee Jeric Agustin	22	4.4%
Julius Mark Apilado	17	3.4%
Other values (15)	117	23.4%
(Missing)	124	24.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nisperos	72	7.5%
mary	55	5.8%
agustin	54	5.6%
plaza	42	4.4%
rey	42	4.4%
john	42	4.4%
ardee	32	3.3%
josie	31	3.2%
fontanillla	31	3.2%
francis	27	2.8%
Other values (28)	528	55.2%

Most occurring characters

Value	Count	Frequency (%)
a	688	11.3%
	590	9.7%
e	501	8.2%
r	431	7.1%
i	403	6.6%
s	367	6.0%
l	343	5.6%
o	333	5.5%
n	333	5.5%
J	224	3.7%
Other values (23)	1885	30.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6098	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	688	11.3%
	590	9.7%
e	501	8.2%
r	431	7.1%
i	403	6.6%
s	367	6.0%
l	343	5.6%
o	333	5.5%
n	333	5.5%
J	224	3.7%
Other values (23)	1885	30.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6098	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	688	11.3%
	590	9.7%
e	501	8.2%
r	431	7.1%
i	403	6.6%
s	367	6.0%
l	343	5.6%
o	333	5.5%
n	333	5.5%
J	224	3.7%
Other values (23)	1885	30.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6098	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	688	11.3%
	590	9.7%
e	501	8.2%
r	431	7.1%
i	403	6.6%
s	367	6.0%
l	343	5.6%
o	333	5.5%
n	333	5.5%
J	224	3.7%
Other values (23)	1885	30.9%

GI - Remarks (Small, Medium, Large, Residential)
Categorical

High correlation Missing

Distinct	11
Distinct (%)	2.3%
Missing	31
Missing (%)	6.2%
Memory size	4.0 KiB

Small	143
Residential	140
small	45
SMALL	44
Medium	41
Other values (6)	56

Length

Max length	11
Median length	5
Mean length	6.9296375
Min length	5

Characters and Unicode

Total characters	3250
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.4%

Sample

1st row	Residential
2nd row	Residential
3rd row	Residential
4th row	Residential
5th row	Residential

Common Values

Value	Count	Frequency (%)
Small	143	28.6%
Residential	140	28.0%
small	45	9.0%
SMALL	44	8.8%
Medium	41	8.2%
Large	30	6.0%
MEDIUM	15	3.0%
LARGE	5	1.0%
Medium	4	0.8%
large	1	0.2%
(Missing)	31	6.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
small	232	49.5%
residential	140	29.9%
medium	61	13.0%
large	36	7.7%

Most occurring characters

Value	Count	Frequency (%)
l	517	15.9%
a	359	11.0%
e	357	11.0%
i	326	10.0%
m	235	7.2%
S	187	5.8%
d	186	5.7%
s	185	5.7%
R	145	4.5%
n	140	4.3%
Other values (13)	613	18.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3250	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	517	15.9%
a	359	11.0%
e	357	11.0%
i	326	10.0%
m	235	7.2%
S	187	5.8%
d	186	5.7%
s	185	5.7%
R	145	4.5%
n	140	4.3%
Other values (13)	613	18.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3250	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	517	15.9%
a	359	11.0%
e	357	11.0%
i	326	10.0%
m	235	7.2%
S	187	5.8%
d	186	5.7%
s	185	5.7%
R	145	4.5%
n	140	4.3%
Other values (13)	613	18.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3250	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	517	15.9%
a	359	11.0%
e	357	11.0%
i	326	10.0%
m	235	7.2%
S	187	5.8%
d	186	5.7%
s	185	5.7%
R	145	4.5%
n	140	4.3%
Other values (13)	613	18.9%

GI - Business Name/Residential Name/Contact number
Text

Missing

Distinct	456
Distinct (%)	99.6%
Missing	42
Missing (%)	8.4%
Memory size	4.0 KiB

Length

Max length	57
Median length	41
Mean length	17.368996
Min length	3

Characters and Unicode

Total characters	7955
Distinct characters	74
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	454 ?
Unique (%)	99.1%

Sample

1st row	Ross Carino
2nd row	Ram Garcia
3rd row	Sharie Jane Abando
4th row	Malidale Muna
5th row	Lovely Colet

Value	Count	Frequency (%)
eatery	25	2.0%
store	21	1.7%
food	21	1.7%
laundry	19	1.6%
	17	1.4%
house	16	1.3%
station	11	0.9%
canteen	10	0.8%
sari	10	0.8%
wash	9	0.7%
Other values (856)	1061	87.0%

Most occurring characters

Value	Count	Frequency (%)
	770	9.7%
a	495	6.2%
A	396	5.0%
E	352	4.4%
e	349	4.4%
n	296	3.7%
R	276	3.5%
S	262	3.3%
o	259	3.3%
i	242	3.0%
Other values (64)	4258	53.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7955	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	770	9.7%
a	495	6.2%
A	396	5.0%
E	352	4.4%
e	349	4.4%
n	296	3.7%
R	276	3.5%
S	262	3.3%
o	259	3.3%
i	242	3.0%
Other values (64)	4258	53.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7955	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	770	9.7%
a	495	6.2%
A	396	5.0%
E	352	4.4%
e	349	4.4%
n	296	3.7%
R	276	3.5%
S	262	3.3%
o	259	3.3%
i	242	3.0%
Other values (64)	4258	53.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7955	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	770	9.7%
a	495	6.2%
A	396	5.0%
E	352	4.4%
e	349	4.4%
n	296	3.7%
R	276	3.5%
S	262	3.3%
o	259	3.3%
i	242	3.0%
Other values (64)	4258	53.5%

GI - Business Location/Address
Categorical

High correlation Missing

Distinct	32
Distinct (%)	8.2%
Missing	112
Missing (%)	22.4%
Memory size	4.0 KiB

Sevilla	77
CARLATAN CSF LU	52
Lingsat	49
Poro	27
Pagdaraoan	25
Other values (27)	158

Length

Max length	42
Median length	32
Mean length	10.31701
Min length	4

Characters and Unicode

Total characters	4003
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	4.6%

Sample

1st row	Zone 5 Lubrin Heights
2nd row	Brgy I
3rd row	Gapuz Zigzag Road
4th row	163 burgos street
5th row	BARANGAY IV , SFC L.U

Common Values

Value	Count	Frequency (%)
Sevilla	77	15.4%
CARLATAN CSF LU	52	10.4%
Lingsat	49	9.8%
Poro	27	5.4%
Pagdaraoan	25	5.0%
Tanqui	25	5.0%
Madayegdeg	24	4.8%
BARANGAY IV	23	4.6%
CATBANGEN SFC, LU	22	4.4%
Parian	14	2.8%
Other values (22)	50	10.0%
(Missing)	112	22.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lu	85	12.6%
sevilla	77	11.4%
csf	62	9.2%
carlatan	52	7.7%
lingsat	49	7.2%
barangay	34	5.0%
iv	33	4.9%
sfc	33	4.9%
catbangen	32	4.7%
poro	28	4.1%
Other values (38)	192	28.4%

Most occurring characters

Value	Count	Frequency (%)
a	380	9.5%
A	337	8.4%
	290	7.2%
L	198	4.9%
i	197	4.9%
S	188	4.7%
n	184	4.6%
C	180	4.5%
l	159	4.0%
e	155	3.9%
Other values (43)	1735	43.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4003	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	380	9.5%
A	337	8.4%
	290	7.2%
L	198	4.9%
i	197	4.9%
S	188	4.7%
n	184	4.6%
C	180	4.5%
l	159	4.0%
e	155	3.9%
Other values (43)	1735	43.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4003	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	380	9.5%
A	337	8.4%
	290	7.2%
L	198	4.9%
i	197	4.9%
S	188	4.7%
n	184	4.6%
C	180	4.5%
l	159	4.0%
e	155	3.9%
Other values (43)	1735	43.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4003	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	380	9.5%
A	337	8.4%
	290	7.2%
L	198	4.9%
i	197	4.9%
S	188	4.7%
n	184	4.6%
C	180	4.5%
l	159	4.0%
e	155	3.9%
Other values (43)	1735	43.3%

GI - Type of Business
Categorical

High correlation Missing

Distinct	28
Distinct (%)	9.2%
Missing	197
Missing (%)	39.4%
Memory size	4.0 KiB

Restaurant / Food Service	147
Retail	30
Laundromat	20
Food Service	14
Hotel Accomodation	11
Other values (23)	81

Length

Max length	26
Median length	25
Mean length	18.072607
Min length	3

Characters and Unicode

Total characters	5476
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	3.3%

Sample

1st row	Office / Corporate
2nd row	Retail
3rd row	Retail
4th row	Laundromat
5th row	Restaurant / Food Service

Common Values

Value	Count	Frequency (%)
Restaurant / Food Service	147	29.4%
Retail	30	6.0%
Laundromat	20	4.0%
Food Service	14	2.8%
Hotel Accomodation	11	2.2%
College / University	10	2.0%
Sari-Sari Store	8	1.6%
Manufacturing / Production	8	1.6%
Salon	7	1.4%
Car Wash	7	1.4%
Other values (18)	41	8.2%
(Missing)	197	39.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	170	20.3%
service	165	19.7%
food	161	19.2%
restaurant	148	17.6%
retail	30	3.6%
laundromat	20	2.4%
hotel	11	1.3%
accomodation	11	1.3%
college	10	1.2%
university	10	1.2%
Other values (27)	103	12.3%

Most occurring characters

Value	Count	Frequency (%)
e	582	10.6%
	539	9.8%
a	460	8.4%
o	452	8.3%
t	438	8.0%
r	413	7.5%
i	306	5.6%
n	249	4.5%
c	217	4.0%
S	206	3.8%
Other values (29)	1614	29.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5476	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	582	10.6%
	539	9.8%
a	460	8.4%
o	452	8.3%
t	438	8.0%
r	413	7.5%
i	306	5.6%
n	249	4.5%
c	217	4.0%
S	206	3.8%
Other values (29)	1614	29.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5476	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	582	10.6%
	539	9.8%
a	460	8.4%
o	452	8.3%
t	438	8.0%
r	413	7.5%
i	306	5.6%
n	249	4.5%
c	217	4.0%
S	206	3.8%
Other values (29)	1614	29.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5476	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	582	10.6%
	539	9.8%
a	460	8.4%
o	452	8.3%
t	438	8.0%
r	413	7.5%
i	306	5.6%
n	249	4.5%
c	217	4.0%
S	206	3.8%
Other values (29)	1614	29.5%

GI - No. of Employees
Text

Missing

Distinct	52
Distinct (%)	20.9%
Missing	251
Missing (%)	50.2%
Memory size	4.0 KiB

Length

Max length	34
Median length	1
Mean length	3.0401606
Min length	1

Characters and Unicode

Total characters	757
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	12.0%

Sample

1st row	7
2nd row	3
3rd row	5
4th row	10
5th row	15

Value	Count	Frequency (%)
2	40	13.2%
3	35	11.6%
6	27	8.9%
5	25	8.3%
4	24	7.9%
1	13	4.3%
7	12	4.0%
empolyees	11	3.6%
customer	9	3.0%
30	8	2.6%
Other values (45)	98	32.5%

Most occurring characters

Value	Count	Frequency (%)
2	67	8.9%
E	62	8.2%
0	60	7.9%
	53	7.0%
3	52	6.9%
1	48	6.3%
5	42	5.5%
4	36	4.8%
S	34	4.5%
6	32	4.2%
Other values (18)	271	35.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	757	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	67	8.9%
E	62	8.2%
0	60	7.9%
	53	7.0%
3	52	6.9%
1	48	6.3%
5	42	5.5%
4	36	4.8%
S	34	4.5%
6	32	4.2%
Other values (18)	271	35.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	757	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	67	8.9%
E	62	8.2%
0	60	7.9%
	53	7.0%
3	52	6.9%
1	48	6.3%
5	42	5.5%
4	36	4.8%
S	34	4.5%
6	32	4.2%
Other values (18)	271	35.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	757	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	67	8.9%
E	62	8.2%
0	60	7.9%
	53	7.0%
3	52	6.9%
1	48	6.3%
5	42	5.5%
4	36	4.8%
S	34	4.5%
6	32	4.2%
Other values (18)	271	35.8%

GI - Operating Hours - Start
Categorical

High correlation Imbalance Missing

Distinct	14
Distinct (%)	4.3%
Missing	178
Missing (%)	35.6%
Memory size	4.0 KiB

8:00	210
0:00	49
7:00	15
6:00	12
9:00	10
Other values (9)	26

Length

Max length	5
Median length	4
Mean length	4.0341615
Min length	4

Characters and Unicode

Total characters	1299
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	1.2%

Sample

1st row	8:00
2nd row	8:00
3rd row	8:00
4th row	8:00
5th row	8:00

Common Values

Value	Count	Frequency (%)
8:00	210	42.0%
0:00	49	9.8%
7:00	15	3.0%
6:00	12	2.4%
9:00	10	2.0%
10:00	7	1.4%
5:00	7	1.4%
4:00	3	0.6%
18:00	3	0.6%
7:30	2	0.4%
Other values (4)	4	0.8%
(Missing)	178	35.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
8:00	210	65.2%
0:00	49	15.2%
7:00	15	4.7%
6:00	12	3.7%
9:00	10	3.1%
10:00	7	2.2%
5:00	7	2.2%
4:00	3	0.9%
18:00	3	0.9%
7:30	2	0.6%
Other values (4)	4	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	696	53.6%
:	322	24.8%
8	214	16.5%
7	17	1.3%
6	12	0.9%
1	12	0.9%
9	11	0.8%
5	7	0.5%
3	5	0.4%
4	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1299	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	696	53.6%
:	322	24.8%
8	214	16.5%
7	17	1.3%
6	12	0.9%
1	12	0.9%
9	11	0.8%
5	7	0.5%
3	5	0.4%
4	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1299	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	696	53.6%
:	322	24.8%
8	214	16.5%
7	17	1.3%
6	12	0.9%
1	12	0.9%
9	11	0.8%
5	7	0.5%
3	5	0.4%
4	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1299	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	696	53.6%
:	322	24.8%
8	214	16.5%
7	17	1.3%
6	12	0.9%
1	12	0.9%
9	11	0.8%
5	7	0.5%
3	5	0.4%
4	3	0.2%

GI - Operating Hours - End
Categorical

High correlation Imbalance Missing

Distinct	19
Distinct (%)	5.9%
Missing	178
Missing (%)	35.6%
Memory size	4.0 KiB

17:00	211
23:59	41
21:00	13
22:00	12
19:00	9
Other values (14)	36

Length

Max length	5
Median length	5
Mean length	4.9782609
Min length	4

Characters and Unicode

Total characters	1603
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	2.2%

Sample

1st row	17:00
2nd row	17:00
3rd row	17:00
4th row	17:00
5th row	17:00

Common Values

Value	Count	Frequency (%)
17:00	211	42.2%
23:59	41	8.2%
21:00	13	2.6%
22:00	12	2.4%
19:00	9	1.8%
20:00	9	1.8%
18:00	9	1.8%
23:00	3	0.6%
16:00	2	0.4%
15:00	2	0.4%
Other values (9)	11	2.2%
(Missing)	178	35.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
17:00	211	65.5%
23:59	41	12.7%
21:00	13	4.0%
22:00	12	3.7%
19:00	9	2.8%
20:00	9	2.8%
18:00	9	2.8%
23:00	3	0.9%
16:00	2	0.6%
15:00	2	0.6%
Other values (9)	11	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	570	35.6%
:	322	20.1%
1	249	15.5%
7	213	13.3%
2	92	5.7%
9	50	3.1%
3	49	3.1%
5	43	2.7%
8	10	0.6%
6	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1603	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	570	35.6%
:	322	20.1%
1	249	15.5%
7	213	13.3%
2	92	5.7%
9	50	3.1%
3	49	3.1%
5	43	2.7%
8	10	0.6%
6	4	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1603	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	570	35.6%
:	322	20.1%
1	249	15.5%
7	213	13.3%
2	92	5.7%
9	50	3.1%
3	49	3.1%
5	43	2.7%
8	10	0.6%
6	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1603	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	570	35.6%
:	322	20.1%
1	249	15.5%
7	213	13.3%
2	92	5.7%
9	50	3.1%
3	49	3.1%
5	43	2.7%
8	10	0.6%
6	4	0.2%

CWSU-1 - Usage - Specify
Text

Missing

Distinct	2
Distinct (%)	100.0%
Missing	498
Missing (%)	99.6%
Memory size	4.0 KiB

Length

Max length	11
Median length	9
Mean length	9
Min length	7

Characters and Unicode

Total characters	18
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	Washing
2nd row	For Laundry

Value	Count	Frequency (%)
washing	1	33.3%
for	1	33.3%
laundry	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
a	2	11.1%
n	2	11.1%
r	2	11.1%
s	1	5.6%
h	1	5.6%
i	1	5.6%
W	1	5.6%
g	1	5.6%
F	1	5.6%
o	1	5.6%
Other values (5)	5	27.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2	11.1%
n	2	11.1%
r	2	11.1%
s	1	5.6%
h	1	5.6%
i	1	5.6%
W	1	5.6%
g	1	5.6%
F	1	5.6%
o	1	5.6%
Other values (5)	5	27.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2	11.1%
n	2	11.1%
r	2	11.1%
s	1	5.6%
h	1	5.6%
i	1	5.6%
W	1	5.6%
g	1	5.6%
F	1	5.6%
o	1	5.6%
Other values (5)	5	27.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2	11.1%
n	2	11.1%
r	2	11.1%
s	1	5.6%
h	1	5.6%
i	1	5.6%
W	1	5.6%
g	1	5.6%
F	1	5.6%
o	1	5.6%
Other values (5)	5	27.8%

GI - Members
Real number (ℝ)

High correlation Missing

Distinct	9
Distinct (%)	8.1%
Missing	389
Missing (%)	77.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.6126126

Minimum	2
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	9
Maximum	10
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8048982
Coefficient of variation (CV)	0.3912963
Kurtosis	0.6964742
Mean	4.6126126
Median Absolute Deviation (MAD)	1
Skewness	0.9760469
Sum	512
Variance	3.2576577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
4	30	6.0%
3	24	4.8%
5	22	4.4%
6	13	2.6%
2	8	1.6%
9	6	1.2%
7	4	0.8%
8	3	0.6%
10	1	0.2%
(Missing)	389	77.8%

Value	Count	Frequency (%)
2	8	1.6%
3	24	4.8%
4	30	6.0%
5	22	4.4%
6	13	2.6%
7	4	0.8%
8	3	0.6%
9	6	1.2%
10	1	0.2%

Value	Count	Frequency (%)
10	1	0.2%
9	6	1.2%
8	3	0.6%
7	4	0.8%
6	13	2.6%
5	22	4.4%
4	30	6.0%
3	24	4.8%
2	8	1.6%

CWSU-1 - Usage - Drinking
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	346
0	154

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	346	69.2%
0	154	30.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	346	69.2%
0	154	30.8%

Most occurring characters

Value	Count	Frequency (%)
1	346	69.2%
0	154	30.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	346	69.2%
0	154	30.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	346	69.2%
0	154	30.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	346	69.2%
0	154	30.8%

CWSU-1 - Usage - Food preparation
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	334
0	166

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	334	66.8%
0	166	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	334	66.8%
0	166	33.2%

Most occurring characters

Value	Count	Frequency (%)
1	334	66.8%
0	166	33.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	334	66.8%
0	166	33.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	334	66.8%
0	166	33.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	334	66.8%
0	166	33.2%

CWSU-1 - Usage - Cleaning & Sanitation
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	388
0	112

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	388	77.6%
0	112	22.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	388	77.6%
0	112	22.4%

Most occurring characters

Value	Count	Frequency (%)
1	388	77.6%
0	112	22.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	388	77.6%
0	112	22.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	388	77.6%
0	112	22.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	388	77.6%
0	112	22.4%

CWSU-1 - Usage - Manufacturing/Production
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	444
1	56

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	444	88.8%
1	56	11.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	444	88.8%
1	56	11.2%

Most occurring characters

Value	Count	Frequency (%)
0	444	88.8%
1	56	11.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	444	88.8%
1	56	11.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	444	88.8%
1	56	11.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	444	88.8%
1	56	11.2%

CWSU-1 - Usage - Landscaping/Irrigation
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	1
Missing (%)	0.2%
Memory size	4.0 KiB

0.0	478
1.0	21

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1497
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	478	95.6%
1.0	21	4.2%
(Missing)	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	478	95.8%
1.0	21	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	977	65.3%
.	499	33.3%
1	21	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	977	65.3%
.	499	33.3%
1	21	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	977	65.3%
.	499	33.3%
1	21	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	977	65.3%
.	499	33.3%
1	21	1.4%

CWSU-1 - Usage - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	497
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

CWSU-2 - Treatment
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	296
1	204

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	296	59.2%
1	204	40.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	296	59.2%
1	204	40.8%

Most occurring characters

Value	Count	Frequency (%)
0	296	59.2%
1	204	40.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	296	59.2%
1	204	40.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	296	59.2%
1	204	40.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	296	59.2%
1	204	40.8%

CWSU-3 - Current Sources - Tap Water (Water District etc.)
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	383
1	117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring characters

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

CWSU-3 - Current Sources - Deep Well (owned)
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	339
0	161

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	339	67.8%
0	161	32.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	339	67.8%
0	161	32.2%

Most occurring characters

Value	Count	Frequency (%)
1	339	67.8%
0	161	32.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	339	67.8%
0	161	32.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	339	67.8%
0	161	32.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	339	67.8%
0	161	32.2%

CWSU-3 - Current Sources - Truck Delivery Services (5 m3)
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	1
Missing (%)	0.2%
Memory size	4.0 KiB

0.0	439
1.0	60

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1497
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	439	87.8%
1.0	60	12.0%
(Missing)	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	439	88.0%
1.0	60	12.0%

Most occurring characters

Value	Count	Frequency (%)
0	938	62.7%
.	499	33.3%
1	60	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	938	62.7%
.	499	33.3%
1	60	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	938	62.7%
.	499	33.3%
1	60	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	938	62.7%
.	499	33.3%
1	60	4.0%

CWSU-3 - Current Sources - Bottled water (5 gallons)
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	251
0	249

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	251	50.2%
0	249	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	251	50.2%
0	249	49.8%

Most occurring characters

Value	Count	Frequency (%)
1	251	50.2%
0	249	49.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	251	50.2%
0	249	49.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	251	50.2%
0	249	49.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	251	50.2%
0	249	49.8%

CWSU-3 - Current Sources - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	1
Missing (%)	0.2%
Memory size	4.0 KiB

0.0	492
1.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1497
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	492	98.4%
1.0	7	1.4%
(Missing)	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	492	98.6%
1.0	7	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	991	66.2%
.	499	33.3%
1	7	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	991	66.2%
.	499	33.3%
1	7	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	991	66.2%
.	499	33.3%
1	7	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	991	66.2%
.	499	33.3%
1	7	0.5%

CWSU-3 - Current Sources - (If others, please specify)
Text

Missing

Distinct	9
Distinct (%)	100.0%
Missing	491
Missing (%)	98.2%
Memory size	4.0 KiB

Length

Max length	19
Median length	11
Mean length	11
Min length	7

Characters and Unicode

Total characters	99
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	100.0%

Sample

1st row	Pump Well
2nd row	Sharing
3rd row	Electric
4th row	purified water
5th row	ELECTRIC WATER PUMP

Value	Count	Frequency (%)
water	3	18.8%
electric	2	12.5%
pump	2	12.5%
mall	2	12.5%
well	1	6.2%
sharing	1	6.2%
purified	1	6.2%
manila	1	6.2%
6gals/day	1	6.2%
dept	1	6.2%

Most occurring characters

Value	Count	Frequency (%)
l	10	10.1%
a	9	9.1%
	7	7.1%
e	6	6.1%
r	5	5.1%
i	5	5.1%
p	5	5.1%
M	4	4.0%
t	4	4.0%
E	4	4.0%
Other values (24)	40	40.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	99	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	10	10.1%
a	9	9.1%
	7	7.1%
e	6	6.1%
r	5	5.1%
i	5	5.1%
p	5	5.1%
M	4	4.0%
t	4	4.0%
E	4	4.0%
Other values (24)	40	40.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	99	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	10	10.1%
a	9	9.1%
	7	7.1%
e	6	6.1%
r	5	5.1%
i	5	5.1%
p	5	5.1%
M	4	4.0%
t	4	4.0%
E	4	4.0%
Other values (24)	40	40.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	99	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	10	10.1%
a	9	9.1%
	7	7.1%
e	6	6.1%
r	5	5.1%
i	5	5.1%
p	5	5.1%
M	4	4.0%
t	4	4.0%
E	4	4.0%
Other values (24)	40	40.4%

CWSU-4 - Primary Drinking Source - Tap Water (Water District etc.)
Categorical

Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	461
1	39

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	461	92.2%
1	39	7.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	461	92.2%
1	39	7.8%

Most occurring characters

Value	Count	Frequency (%)
0	461	92.2%
1	39	7.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	461	92.2%
1	39	7.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	461	92.2%
1	39	7.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	461	92.2%
1	39	7.8%

CWSU-4 - Primary Drinking Source - Deep Well (owned)
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	436
1	64

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	436	87.2%
1	64	12.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	436	87.2%
1	64	12.8%

Most occurring characters

Value	Count	Frequency (%)
0	436	87.2%
1	64	12.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	436	87.2%
1	64	12.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	436	87.2%
1	64	12.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	436	87.2%
1	64	12.8%

CWSU-4 - Primary Drinking Source - Truck Delivery Services (5 m3)
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	472
1	28

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	472	94.4%
1	28	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	472	94.4%
1	28	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	472	94.4%
1	28	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	472	94.4%
1	28	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	472	94.4%
1	28	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	472	94.4%
1	28	5.6%

CWSU-4 - Primary Drinking Source - Bottled water (5 gallons)
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	377
0	123

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	377	75.4%
0	123	24.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	377	75.4%
0	123	24.6%

Most occurring characters

Value	Count	Frequency (%)
1	377	75.4%
0	123	24.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	377	75.4%
0	123	24.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	377	75.4%
0	123	24.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	377	75.4%
0	123	24.6%

CWSU-4 - Primary Drinking Source - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	1
Missing (%)	0.2%
Memory size	4.0 KiB

0.0	486
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1497
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	486	97.2%
1.0	13	2.6%
(Missing)	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	486	97.4%
1.0	13	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	985	65.8%
.	499	33.3%
1	13	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	985	65.8%
.	499	33.3%
1	13	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	985	65.8%
.	499	33.3%
1	13	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	985	65.8%
.	499	33.3%
1	13	0.9%

CWSU-4 - Primary Drinking Source - (If others, please specify)
Text

Missing

Distinct	11
Distinct (%)	78.6%
Missing	486
Missing (%)	97.2%
Memory size	4.0 KiB

Length

Max length	23
Median length	14.5
Mean length	10.785714
Min length	3

Characters and Unicode

Total characters	151
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	57.1%

Sample

1st row	MINERAL WATERS
2nd row	filtered water
3rd row	own
4th row	own
5th row	PURIFIED

Value	Count	Frequency (%)
purified	3	13.6%
station	3	13.6%
refilling	3	13.6%
water	3	13.6%
own	2	9.1%
filtered	1	4.5%
mineral	1	4.5%
waters	1	4.5%
refelling	1	4.5%
owned	1	4.5%
Other values (3)	3	13.6%

Most occurring characters

Value	Count	Frequency (%)
I	11	7.3%
T	8	5.3%
e	8	5.3%
E	8	5.3%
	8	5.3%
N	7	4.6%
L	7	4.6%
R	7	4.6%
i	7	4.6%
l	7	4.6%
Other values (23)	73	48.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	151	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	11	7.3%
T	8	5.3%
e	8	5.3%
E	8	5.3%
	8	5.3%
N	7	4.6%
L	7	4.6%
R	7	4.6%
i	7	4.6%
l	7	4.6%
Other values (23)	73	48.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	151	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	11	7.3%
T	8	5.3%
e	8	5.3%
E	8	5.3%
	8	5.3%
N	7	4.6%
L	7	4.6%
R	7	4.6%
i	7	4.6%
l	7	4.6%
Other values (23)	73	48.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	151	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	11	7.3%
T	8	5.3%
e	8	5.3%
E	8	5.3%
	8	5.3%
N	7	4.6%
L	7	4.6%
R	7	4.6%
i	7	4.6%
l	7	4.6%
Other values (23)	73	48.3%

CWSU-4 - Primary Drinking Source - gals
Real number (ℝ)

High correlation

Distinct	80
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.56062

Minimum	6.63
Maximum	365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	6.63
5-th percentile	6.63
Q1	20
median	50
Q3	125
95-th percentile	365
Maximum	365
Range	358.37
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	99.379161
Coefficient of variation (CV)	1.085392
Kurtosis	1.5481331
Mean	91.56062
Median Absolute Deviation (MAD)	34.7
Skewness	1.5599292
Sum	45780.31
Variance	9876.2177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	44	8.8%
365	32	6.4%
6.63	29	5.8%
204.21	22	4.4%
60	20	4.0%
150	20	4.0%
25	19	3.8%
12	17	3.4%
30	17	3.4%
40	14	2.8%
Other values (70)	266	53.2%

Value	Count	Frequency (%)
6.63	29	5.8%
7	1	0.2%
8	6	1.2%
9	1	0.2%
10	11	2.2%
12	17	3.4%
12.7	1	0.2%
15	8	1.6%
15.3	5	1.0%
16	6	1.2%

Value	Count	Frequency (%)
365	32	6.4%
350	1	0.2%
317	1	0.2%
300	9	1.8%
275	1	0.2%
250	2	0.4%
240	1	0.2%
225	1	0.2%
220	2	0.4%
204.21	22	4.4%

CWSU-5 - Ave Demand (in cbm)
Real number (ℝ)

High correlation Missing

Distinct	124
Distinct (%)	57.9%
Missing	286
Missing (%)	57.2%
Infinite	0
Infinite (%)	0.0%
Mean	75.902411

Minimum	0.03785
Maximum	2500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	0.03785
5-th percentile	0.44555225
Q1	2.017
median	5
Q3	28.290625
95-th percentile	282.45
Maximum	2500
Range	2499.9621
Interquartile range (IQR)	26.273625

Descriptive statistics

Standard deviation	268.85394
Coefficient of variation (CV)	3.5421001
Kurtosis	46.701858
Mean	75.902411
Median Absolute Deviation (MAD)	4.3187
Skewness	6.3879604
Sum	16243.116
Variance	72282.439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	6	1.2%
3	6	1.2%
3.4065	5	1.0%
4	5	1.0%
2.83875	5	1.0%
2.271	4	0.8%
5	4	0.8%
1.70325	4	0.8%
20	4	0.8%
1.1355	4	0.8%
Other values (114)	167	33.4%
(Missing)	286	57.2%

Value	Count	Frequency (%)
0.03785	2	0.4%
0.0757	2	0.4%
0.1	1	0.2%
0.11355	1	0.2%
0.2	1	0.2%
0.3	2	0.4%
0.34065	1	0.2%
0.344435	1	0.2%
0.5	2	0.4%
0.510975	1	0.2%

Value	Count	Frequency (%)
2500	1	0.2%
2000	1	0.2%
1500	1	0.2%
900	2	0.4%
840	1	0.2%
625	1	0.2%
600	1	0.2%
480	1	0.2%
360	1	0.2%
300	1	0.2%

CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)
Real number (ℝ)

High correlation Missing

Distinct	15
Distinct (%)	35.7%
Missing	458
Missing (%)	91.6%
Infinite	0
Infinite (%)	0.0%
Mean	417.9028

Minimum	180
Maximum	2642.0079
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	180
5-th percentile	180
Q1	180
median	180
Q3	337.5
95-th percentile	1571.9947
Maximum	2642.0079
Range	2462.0079
Interquartile range (IQR)	157.5

Descriptive statistics

Standard deviation	530.95544
Coefficient of variation (CV)	1.2705238
Kurtosis	7.9569105
Mean	417.9028
Median Absolute Deviation (MAD)	0
Skewness	2.7804324
Sum	17551.918
Variance	281913.68
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
180	27	5.4%
200	2	0.4%
400	1	0.2%
300	1	0.2%
500	1	0.2%
819.89	1	0.2%
350	1	0.2%
2642.007926	1	0.2%
1585.204756	1	0.2%
258	1	0.2%
Other values (5)	5	1.0%
(Missing)	458	91.6%

Value	Count	Frequency (%)
180	27	5.4%
200	2	0.4%
258	1	0.2%
300	1	0.2%
350	1	0.2%
400	1	0.2%
417	1	0.2%
500	1	0.2%
792.6023778	1	0.2%
819.89	1	0.2%

Value	Count	Frequency (%)
2642.007926	1	0.2%
1849.405548	1	0.2%
1585.204756	1	0.2%
1321.003963	1	0.2%
1056.80317	1	0.2%
819.89	1	0.2%
792.6023778	1	0.2%
500	1	0.2%
417	1	0.2%
400	1	0.2%

CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)
Real number (ℝ)

High correlation Missing

Distinct	76
Distinct (%)	52.1%
Missing	354
Missing (%)	70.8%
Infinite	0
Infinite (%)	0.0%
Mean	4947.3153

Minimum	8.51715
Maximum	65521.797
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.0 KiB

Quantile statistics

Minimum	8.51715
5-th percentile	8.51715
Q1	20
median	300
Q3	3450
95-th percentile	25759.577
Maximum	65521.797
Range	65513.279
Interquartile range (IQR)	3430

Descriptive statistics

Standard deviation	11576.857
Coefficient of variation (CV)	2.3400281
Kurtosis	11.75761
Mean	4947.3153
Median Absolute Deviation (MAD)	291.48285
Skewness	3.356619
Sum	722308.03
Variance	1.3402361 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.51715	26	5.2%
300	9	1.8%
750	5	1.0%
20	5	1.0%
5284.015852	5	1.0%
1321.003963	4	0.8%
7926.023778	4	0.8%
23778.07133	3	0.6%
10	3	0.6%
40	3	0.6%
Other values (66)	79	15.8%
(Missing)	354	70.8%

Value	Count	Frequency (%)
8.51715	26	5.2%
9.4635	1	0.2%
9.6	1	0.2%
10	3	0.6%
11.3562	1	0.2%
12.5	2	0.4%
20	5	1.0%
22.224	1	0.2%
23	1	0.2%
24	1	0.2%

Value	Count	Frequency (%)
65521.79657	1	0.2%
57331.57199	1	0.2%
52840.15852	2	0.4%
46235.13871	1	0.2%
39630.11889	1	0.2%
29062.08719	1	0.2%
26420.07926	1	0.2%
23778.07133	3	0.6%
22457.06737	1	0.2%
18494.05548	1	0.2%

CWSU-6 - Actual Use (m3 / gal) - Truck Delivery Services (5 m3)
Unsupported

Missing Rejected Unsupported

Missing	464
Missing (%)	92.8%
Memory size	4.0 KiB

CWSU-6 - Actual Use (m3 / gal) - Bottled water (5 gallons)
Unsupported

Missing Rejected Unsupported

Missing	222
Missing (%)	44.4%
Memory size	4.0 KiB

CWSU-6 - Actual Use (m3 / gal) - Others (gallons)
Text

Missing

Distinct	8
Distinct (%)	66.7%
Missing	488
Missing (%)	97.6%
Memory size	4.0 KiB

Length

Max length	7
Median length	5
Mean length	4.1666667
Min length	1

Characters and Unicode

Total characters	50
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	50.0%

Sample

1st row	Sharing
2nd row	Sharing
3rd row	Sharing
4th row	Sharing
5th row	270

Value	Count	Frequency (%)
sharing	4	33.3%
1	2	16.7%
180	1	8.3%
270	1	8.3%
300	1	8.3%
7,200	1	8.3%
450	1	8.3%
200	1	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	9	18.0%
S	4	8.0%
a	4	8.0%
h	4	8.0%
i	4	8.0%
n	4	8.0%
g	4	8.0%
r	4	8.0%
1	3	6.0%
2	3	6.0%
Other values (6)	7	14.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	9	18.0%
S	4	8.0%
a	4	8.0%
h	4	8.0%
i	4	8.0%
n	4	8.0%
g	4	8.0%
r	4	8.0%
1	3	6.0%
2	3	6.0%
Other values (6)	7	14.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	9	18.0%
S	4	8.0%
a	4	8.0%
h	4	8.0%
i	4	8.0%
n	4	8.0%
g	4	8.0%
r	4	8.0%
1	3	6.0%
2	3	6.0%
Other values (6)	7	14.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	9	18.0%
S	4	8.0%
a	4	8.0%
h	4	8.0%
i	4	8.0%
n	4	8.0%
g	4	8.0%
r	4	8.0%
1	3	6.0%
2	3	6.0%
Other values (6)	7	14.0%

CWSU-7 - Peak Month - Start
Categorical

High correlation Missing

Distinct	14
Distinct (%)	4.0%
Missing	151
Missing (%)	30.2%
Memory size	4.0 KiB

March	178
April	64
December	27
May	22
January	15
Other values (9)	43

Length

Max length	9
Median length	5
Mean length	5.3352436
Min length	3

Characters and Unicode

Total characters	1862
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.9%

Sample

1st row	Feb
2nd row	March
3rd row	March
4th row	March
5th row	March

Common Values

Value	Count	Frequency (%)
March	178	35.6%
April	64	12.8%
December	27	5.4%
May	22	4.4%
January	15	3.0%
February	13	2.6%
June	10	2.0%
October	8	1.6%
August	4	0.8%
Feb	3	0.6%
Other values (4)	5	1.0%
(Missing)	151	30.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
march	178	51.0%
april	64	18.3%
december	27	7.7%
may	22	6.3%
january	15	4.3%
february	13	3.7%
june	10	2.9%
october	8	2.3%
august	4	1.1%
feb	3	0.9%
Other values (4)	5	1.4%

Most occurring characters

Value	Count	Frequency (%)
r	321	17.2%
a	244	13.1%
c	213	11.4%
M	200	10.7%
h	178	9.6%
e	122	6.6%
A	68	3.7%
p	65	3.5%
l	65	3.5%
i	64	3.4%
Other values (16)	322	17.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1862	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	321	17.2%
a	244	13.1%
c	213	11.4%
M	200	10.7%
h	178	9.6%
e	122	6.6%
A	68	3.7%
p	65	3.5%
l	65	3.5%
i	64	3.4%
Other values (16)	322	17.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1862	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	321	17.2%
a	244	13.1%
c	213	11.4%
M	200	10.7%
h	178	9.6%
e	122	6.6%
A	68	3.7%
p	65	3.5%
l	65	3.5%
i	64	3.4%
Other values (16)	322	17.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1862	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	321	17.2%
a	244	13.1%
c	213	11.4%
M	200	10.7%
h	178	9.6%
e	122	6.6%
A	68	3.7%
p	65	3.5%
l	65	3.5%
i	64	3.4%
Other values (16)	322	17.3%

CWSU-7 - Peak Month - End
Categorical

High correlation Missing

Distinct	13
Distinct (%)	3.7%
Missing	151
Missing (%)	30.2%
Memory size	4.0 KiB

May	171
April	57
June	39
December	34
March	24
Other values (8)	24

Length

Max length	9
Median length	8
Mean length	4.2922636
Min length	3

Characters and Unicode

Total characters	1498
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.9%

Sample

1st row	June
2nd row	June
3rd row	June
4th row	June
5th row	June

Common Values

Value	Count	Frequency (%)
May	171	34.2%
April	57	11.4%
June	39	7.8%
December	34	6.8%
March	24	4.8%
August	7	1.4%
January	6	1.2%
July	4	0.8%
November	2	0.4%
September	2	0.4%
Other values (3)	3	0.6%
(Missing)	151	30.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
may	171	49.0%
april	57	16.3%
june	39	11.2%
december	34	9.7%
march	24	6.9%
august	7	2.0%
january	6	1.7%
july	4	1.1%
november	2	0.6%
september	2	0.6%
Other values (3)	3	0.9%

Most occurring characters

Value	Count	Frequency (%)
a	208	13.9%
M	195	13.0%
y	182	12.1%
e	153	10.2%
r	127	8.5%
u	65	4.3%
A	64	4.3%
l	61	4.1%
p	59	3.9%
i	58	3.9%
Other values (19)	326	21.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1498	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	208	13.9%
M	195	13.0%
y	182	12.1%
e	153	10.2%
r	127	8.5%
u	65	4.3%
A	64	4.3%
l	61	4.1%
p	59	3.9%
i	58	3.9%
Other values (19)	326	21.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1498	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	208	13.9%
M	195	13.0%
y	182	12.1%
e	153	10.2%
r	127	8.5%
u	65	4.3%
A	64	4.3%
l	61	4.1%
p	59	3.9%
i	58	3.9%
Other values (19)	326	21.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1498	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	208	13.9%
M	195	13.0%
y	182	12.1%
e	153	10.2%
r	127	8.5%
u	65	4.3%
A	64	4.3%
l	61	4.1%
p	59	3.9%
i	58	3.9%
Other values (19)	326	21.8%

CWSU-8 - Monthly Costs - Less than PhP 1,000
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	284
1	216

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	284	56.8%
1	216	43.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	284	56.8%
1	216	43.2%

Most occurring characters

Value	Count	Frequency (%)
0	284	56.8%
1	216	43.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	284	56.8%
1	216	43.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	284	56.8%
1	216	43.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	284	56.8%
1	216	43.2%

CWSU-8 - Monthly Costs - PhP 1,000 - PhP 3,000
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	399
1	101

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring characters

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

CWSU-8 - Monthly Costs - PhP 3,000 - PhP 5,000
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	465
1	35

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	465	93.0%
1	35	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	465	93.0%
1	35	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	465	93.0%
1	35	7.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	465	93.0%
1	35	7.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	465	93.0%
1	35	7.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	465	93.0%
1	35	7.0%

CWSU-8 - Monthly Costs - PhP 5,000 - PhP 10,000
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	481
1	19

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

CWSU-8 - Monthly Costs - PhP 10,000 and above
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	478
1	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

CWSU-8 - Monthly Costs - Water Bottles
Text

Missing

Distinct	53
Distinct (%)	42.7%
Missing	376
Missing (%)	75.2%
Memory size	4.0 KiB

Length

Max length	5
Median length	3
Mean length	3.3870968
Min length	2

Characters and Unicode

Total characters	420
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	25.8%

Sample

1st row	600
2nd row	180
3rd row	360
4th row	120
5th row	360

Value	Count	Frequency (%)
600	14	11.3%
360	9	7.3%
240	6	4.8%
450	6	4.8%
750	6	4.8%
900	6	4.8%
120	5	4.0%
700	4	3.2%
480	4	3.2%
300	4	3.2%
Other values (43)	60	48.4%

Most occurring characters

Value	Count	Frequency (%)
0	182	43.3%
5	37	8.8%
2	36	8.6%
1	33	7.9%
6	30	7.1%
4	26	6.2%
3	19	4.5%
7	18	4.3%
,	15	3.6%
8	13	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	182	43.3%
5	37	8.8%
2	36	8.6%
1	33	7.9%
6	30	7.1%
4	26	6.2%
3	19	4.5%
7	18	4.3%
,	15	3.6%
8	13	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	182	43.3%
5	37	8.8%
2	36	8.6%
1	33	7.9%
6	30	7.1%
4	26	6.2%
3	19	4.5%
7	18	4.3%
,	15	3.6%
8	13	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	182	43.3%
5	37	8.8%
2	36	8.6%
1	33	7.9%
6	30	7.1%
4	26	6.2%
3	19	4.5%
7	18	4.3%
,	15	3.6%
8	13	3.1%

CWSU-8 - Monthly Costs - Truck Delivery
Categorical

High correlation Imbalance Missing

Distinct	12
Distinct (%)	16.0%
Missing	425
Missing (%)	85.0%
Memory size	4.0 KiB

FALSE	63
3000	2
2800	1
1400	1
300	1
Other values (7)	7

Length

Max length	5
Median length	5
Mean length	4.7866667
Min length	3

Characters and Unicode

Total characters	359
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	13.3%

Sample

1st row	2800
2nd row	1400
3rd row	400
4th row	300
5th row	600

Common Values

Value	Count	Frequency (%)
FALSE	63	12.6%
3000	2	0.4%
2800	1	0.2%
1400	1	0.2%
300	1	0.2%
400	1	0.2%
5600	1	0.2%
600	1	0.2%
2600	1	0.2%
200	1	0.2%
Other values (2)	2	0.4%
(Missing)	425	85.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
false	63	84.0%
3000	2	2.7%
2800	1	1.3%
1400	1	1.3%
300	1	1.3%
400	1	1.3%
5600	1	1.3%
600	1	1.3%
2600	1	1.3%
200	1	1.3%
Other values (2)	2	2.7%

Most occurring characters

Value	Count	Frequency (%)
F	63	17.5%
A	63	17.5%
L	63	17.5%
S	63	17.5%
E	63	17.5%
0	26	7.2%
3	3	0.8%
2	3	0.8%
6	3	0.8%
5	3	0.8%
Other values (4)	6	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	359	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
F	63	17.5%
A	63	17.5%
L	63	17.5%
S	63	17.5%
E	63	17.5%
0	26	7.2%
3	3	0.8%
2	3	0.8%
6	3	0.8%
5	3	0.8%
Other values (4)	6	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	359	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
F	63	17.5%
A	63	17.5%
L	63	17.5%
S	63	17.5%
E	63	17.5%
0	26	7.2%
3	3	0.8%
2	3	0.8%
6	3	0.8%
5	3	0.8%
Other values (4)	6	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	359	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
F	63	17.5%
A	63	17.5%
L	63	17.5%
S	63	17.5%
E	63	17.5%
0	26	7.2%
3	3	0.8%
2	3	0.8%
6	3	0.8%
5	3	0.8%
Other values (4)	6	1.7%

CWSU-8 - Monthly Costs - Others:
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	487
1	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

CWSU-8 - Monthly Costs - If others, input here
Text

Missing

Distinct	11
Distinct (%)	91.7%
Missing	488
Missing (%)	97.6%
Memory size	4.0 KiB

Length

Max length	20
Median length	9
Mean length	5.6666667
Min length	2

Characters and Unicode

Total characters	68
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	83.3%

Sample

1st row	480
2nd row	1,800
3rd row	35
4th row	1,100
5th row	300

Value	Count	Frequency (%)
300	2	14.3%
1,800	1	7.1%
480	1	7.1%
35	1	7.1%
1,100	1	7.1%
deepwell	1	7.1%
motorized	1	7.1%
deep	1	7.1%
well	1	7.1%
2,000	1	7.1%
Other values (3)	3	21.4%

Most occurring characters

Value	Count	Frequency (%)
0	20	29.4%
e	7	10.3%
1	5	7.4%
,	4	5.9%
l	4	5.9%
2	3	4.4%
3	3	4.4%
8	2	2.9%
o	2	2.9%
	2	2.9%
Other values (14)	16	23.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	68	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	20	29.4%
e	7	10.3%
1	5	7.4%
,	4	5.9%
l	4	5.9%
2	3	4.4%
3	3	4.4%
8	2	2.9%
o	2	2.9%
	2	2.9%
Other values (14)	16	23.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	68	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	20	29.4%
e	7	10.3%
1	5	7.4%
,	4	5.9%
l	4	5.9%
2	3	4.4%
3	3	4.4%
8	2	2.9%
o	2	2.9%
	2	2.9%
Other values (14)	16	23.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	68	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	20	29.4%
e	7	10.3%
1	5	7.4%
,	4	5.9%
l	4	5.9%
2	3	4.4%
3	3	4.4%
8	2	2.9%
o	2	2.9%
	2	2.9%
Other values (14)	16	23.5%

CWSU-9 - Issues (Tap Water) - Yes
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	414
1	86

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring characters

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

CWSU-9 - Issues (Tap Water) - No
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	288
1	212

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring characters

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

CWSU-9 - Issues (Tap Water) - N/A
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	372
1	128

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	372	74.4%
1	128	25.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	372	74.4%
1	128	25.6%

Most occurring characters

Value	Count	Frequency (%)
0	372	74.4%
1	128	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	372	74.4%
1	128	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	372	74.4%
1	128	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	372	74.4%
1	128	25.6%

CWSU-9 - Issues (Tap Water) - Supply interruption
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	441
1	59

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	441	88.2%
1	59	11.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	441	88.2%
1	59	11.8%

Most occurring characters

Value	Count	Frequency (%)
0	441	88.2%
1	59	11.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	441	88.2%
1	59	11.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	441	88.2%
1	59	11.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	441	88.2%
1	59	11.8%

CWSU-9 - Issues (Tap Water) - Salinity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	489
1	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

CWSU-9 - Issues (Tap Water) - Taste
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	487
1	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	487	97.4%
1	13	2.6%

CWSU-9 - Issues (Tap Water) - Smell
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	482
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	482	96.4%
1	18	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	482	96.4%
1	18	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	482	96.4%
1	18	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	482	96.4%
1	18	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	482	96.4%
1	18	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	482	96.4%
1	18	3.6%

CWSU-9 - Issues (Tap Water) - Turbidity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	495
1	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

CWSU-9 - Issues (Tap Water) - Costs
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

CWSU-9 - Issues (Tap Water) - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	495
1	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	495	99.0%
1	5	1.0%

CWSU-9 - Issues (Tap Water) - If others, input here
Text

Missing

Distinct	8
Distinct (%)	100.0%
Missing	492
Missing (%)	98.4%
Memory size	4.0 KiB

Length

Max length	24
Median length	12.5
Mean length	12.5
Min length	5

Characters and Unicode

Total characters	100
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	100.0%

Sample

1st row	Not enough water in well
2nd row	Walang gripo
3rd row	MAPUTIK
4th row	NAG YELLOW
5th row	walang gripo

Value	Count	Frequency (%)
gripo	2	11.1%
walang	2	11.1%
not	1	5.6%
enough	1	5.6%
in	1	5.6%
water	1	5.6%
well	1	5.6%
maputik	1	5.6%
nag	1	5.6%
yellow	1	5.6%
Other values (6)	6	33.3%

Most occurring characters

Value	Count	Frequency (%)
	10	10.0%
a	8	8.0%
g	7	7.0%
n	6	6.0%
e	5	5.0%
o	5	5.0%
i	5	5.0%
l	4	4.0%
t	4	4.0%
r	4	4.0%
Other values (25)	42	42.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	10	10.0%
a	8	8.0%
g	7	7.0%
n	6	6.0%
e	5	5.0%
o	5	5.0%
i	5	5.0%
l	4	4.0%
t	4	4.0%
r	4	4.0%
Other values (25)	42	42.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	10	10.0%
a	8	8.0%
g	7	7.0%
n	6	6.0%
e	5	5.0%
o	5	5.0%
i	5	5.0%
l	4	4.0%
t	4	4.0%
r	4	4.0%
Other values (25)	42	42.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	10	10.0%
a	8	8.0%
g	7	7.0%
n	6	6.0%
e	5	5.0%
o	5	5.0%
i	5	5.0%
l	4	4.0%
t	4	4.0%
r	4	4.0%
Other values (25)	42	42.0%

CWSU-10 - Issues (Deep Well) - Yes
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	414
1	86

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring characters

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	414	82.8%
1	86	17.2%

CWSU-10 - Issues (Deep Well) - No
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	293
0	207

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	293	58.6%
0	207	41.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	293	58.6%
0	207	41.4%

Most occurring characters

Value	Count	Frequency (%)
1	293	58.6%
0	207	41.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	293	58.6%
0	207	41.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	293	58.6%
0	207	41.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	293	58.6%
0	207	41.4%

CWSU-10 - Issues (Deep Well) - N/A
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	433
1	67

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	433	86.6%
1	67	13.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	433	86.6%
1	67	13.4%

Most occurring characters

Value	Count	Frequency (%)
0	433	86.6%
1	67	13.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	433	86.6%
1	67	13.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	433	86.6%
1	67	13.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	433	86.6%
1	67	13.4%

CWSU-10 - Issues (Deep Well) - Supply interruption
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	459
1	41

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

CWSU-10 - Issues (Deep Well) - Salinity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	489
1	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	489	97.8%
1	11	2.2%

CWSU-10 - Issues (Deep Well) - Taste
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	476
1	24

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

CWSU-10 - Issues (Deep Well) - Smell
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	475
1	25

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	475	95.0%
1	25	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	475	95.0%
1	25	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	475	95.0%
1	25	5.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	475	95.0%
1	25	5.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	475	95.0%
1	25	5.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	475	95.0%
1	25	5.0%

CWSU-10 - Issues (Deep Well) - Turbidity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	483
1	17

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	483	96.6%
1	17	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	483	96.6%
1	17	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	483	96.6%
1	17	3.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	483	96.6%
1	17	3.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	483	96.6%
1	17	3.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	483	96.6%
1	17	3.4%

CWSU-10 - Issues (Deep Well) - Costs
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	498
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

CWSU-10 - Issues (Deep Well) - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	484
1	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	484	96.8%
1	16	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	484	96.8%
1	16	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	484	96.8%
1	16	3.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	484	96.8%
1	16	3.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	484	96.8%
1	16	3.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	484	96.8%
1	16	3.2%

CWSU-10 - Issues (Deep Well) - If others, input here
Text

Missing

Distinct	16
Distinct (%)	100.0%
Missing	484
Missing (%)	96.8%
Memory size	4.0 KiB

Length

Max length	25
Median length	14
Mean length	12.0625
Min length	5

Characters and Unicode

Total characters	193
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	100.0%

Sample

1st row	Nauubos ang tubig sa poso
2nd row	Tag-init lang
3rd row	By Schedule
4th row	Malfunction
5th row	MADUMI/MAPUTIK

Value	Count	Frequency (%)
malfunction	2	7.1%
ang	1	3.6%
nauubos	1	3.6%
tubig	1	3.6%
sa	1	3.6%
tag-init	1	3.6%
poso	1	3.6%
lang	1	3.6%
by	1	3.6%
schedule	1	3.6%
Other values (17)	17	60.7%

Most occurring characters

Value	Count	Frequency (%)
i	14	7.3%
n	13	6.7%
	12	6.2%
a	12	6.2%
o	11	5.7%
t	11	5.7%
l	8	4.1%
u	8	4.1%
e	7	3.6%
r	7	3.6%
Other values (31)	90	46.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	193	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	14	7.3%
n	13	6.7%
	12	6.2%
a	12	6.2%
o	11	5.7%
t	11	5.7%
l	8	4.1%
u	8	4.1%
e	7	3.6%
r	7	3.6%
Other values (31)	90	46.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	193	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	14	7.3%
n	13	6.7%
	12	6.2%
a	12	6.2%
o	11	5.7%
t	11	5.7%
l	8	4.1%
u	8	4.1%
e	7	3.6%
r	7	3.6%
Other values (31)	90	46.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	193	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	14	7.3%
n	13	6.7%
	12	6.2%
a	12	6.2%
o	11	5.7%
t	11	5.7%
l	8	4.1%
u	8	4.1%
e	7	3.6%
r	7	3.6%
Other values (31)	90	46.6%

CWSU-11 - Issues (Truck Water) - Yes
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	479
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	479	95.8%
1	21	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	479	95.8%
1	21	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	479	95.8%
1	21	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	479	95.8%
1	21	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	479	95.8%
1	21	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	479	95.8%
1	21	4.2%

CWSU-11 - Issues (Truck Water) - No
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	288
1	212

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring characters

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	288	57.6%
1	212	42.4%

CWSU-11 - Issues (Truck Water) - N/A
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	277
1	223

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	277	55.4%
1	223	44.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	277	55.4%
1	223	44.6%

Most occurring characters

Value	Count	Frequency (%)
0	277	55.4%
1	223	44.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	277	55.4%
1	223	44.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	277	55.4%
1	223	44.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	277	55.4%
1	223	44.6%

CWSU-11 - Issues (Truck Water) - Supply interruption
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	493
1	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

CWSU-11 - Issues (Truck Water) - Salinity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	496
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

CWSU-11 - Issues (Truck Water) - Taste
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	496
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

CWSU-11 - Issues (Truck Water) - Smell
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	497
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

CWSU-11 - Issues (Truck Water) - Turbidity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	498
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

CWSU-11 - Issues (Truck Water) - Costs
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	493
1	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

CWSU-11 - Issues (Truck Water) - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	496
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	496	99.2%
1	4	0.8%

CWSU-11 - Issues (Truck Water) - If others, input here
Text

Missing

Distinct	4
Distinct (%)	100.0%
Missing	496
Missing (%)	99.2%
Memory size	4.0 KiB

Length

Max length	34
Median length	22
Mean length	15.5
Min length	9

Characters and Unicode

Total characters	62
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	structures
2nd row	High Cost
3rd row	DELEIVERY
4th row	waiting period for delivery- 3days

Value	Count	Frequency (%)
structures	1	11.1%
high	1	11.1%
cost	1	11.1%
deleivery	1	11.1%
waiting	1	11.1%
period	1	11.1%
for	1	11.1%
delivery	1	11.1%
3days	1	11.1%

Most occurring characters

Value	Count	Frequency (%)
r	5	8.1%
	5	8.1%
i	5	8.1%
e	4	6.5%
t	4	6.5%
s	4	6.5%
E	3	4.8%
o	3	4.8%
d	3	4.8%
u	2	3.2%
Other values (21)	24	38.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	62	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	5	8.1%
	5	8.1%
i	5	8.1%
e	4	6.5%
t	4	6.5%
s	4	6.5%
E	3	4.8%
o	3	4.8%
d	3	4.8%
u	2	3.2%
Other values (21)	24	38.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	62	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	5	8.1%
	5	8.1%
i	5	8.1%
e	4	6.5%
t	4	6.5%
s	4	6.5%
E	3	4.8%
o	3	4.8%
d	3	4.8%
u	2	3.2%
Other values (21)	24	38.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	62	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	5	8.1%
	5	8.1%
i	5	8.1%
e	4	6.5%
t	4	6.5%
s	4	6.5%
E	3	4.8%
o	3	4.8%
d	3	4.8%
u	2	3.2%
Other values (21)	24	38.7%

CWSU-12 - Issues (Bottled Water) - Yes
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	459
1	41

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring characters

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	459	91.8%
1	41	8.2%

CWSU-12 - Issues (Bottled Water) - No
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	351
0	149

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	351	70.2%
0	149	29.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	351	70.2%
0	149	29.8%

Most occurring characters

Value	Count	Frequency (%)
1	351	70.2%
0	149	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	351	70.2%
0	149	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	351	70.2%
0	149	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	351	70.2%
0	149	29.8%

CWSU-12 - Issues (Bottled Water) - N/A
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	445
1	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	445	89.0%
1	55	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	445	89.0%
1	55	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	445	89.0%
1	55	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	445	89.0%
1	55	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	445	89.0%
1	55	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	445	89.0%
1	55	11.0%

CWSU-12 - Issues (Bottled Water) - If yes, select all that apply
Text

Constant Missing

Distinct	1
Distinct (%)	100.0%
Missing	499
Missing (%)	99.8%
Memory size	4.0 KiB

Length

Max length	26
Median length	26
Mean length	26
Min length	26

Characters and Unicode

Total characters	26
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	delivery during wet season

Value	Count	Frequency (%)
delivery	1	25.0%
during	1	25.0%
wet	1	25.0%
season	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
e	4	15.4%
	3	11.5%
i	2	7.7%
d	2	7.7%
r	2	7.7%
n	2	7.7%
s	2	7.7%
l	1	3.8%
y	1	3.8%
v	1	3.8%
Other values (6)	6	23.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	4	15.4%
	3	11.5%
i	2	7.7%
d	2	7.7%
r	2	7.7%
n	2	7.7%
s	2	7.7%
l	1	3.8%
y	1	3.8%
v	1	3.8%
Other values (6)	6	23.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	4	15.4%
	3	11.5%
i	2	7.7%
d	2	7.7%
r	2	7.7%
n	2	7.7%
s	2	7.7%
l	1	3.8%
y	1	3.8%
v	1	3.8%
Other values (6)	6	23.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	4	15.4%
	3	11.5%
i	2	7.7%
d	2	7.7%
r	2	7.7%
n	2	7.7%
s	2	7.7%
l	1	3.8%
y	1	3.8%
v	1	3.8%
Other values (6)	6	23.1%

CWSU-12 - Issues (Bottled Water) - Supply interruption
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	491
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

CWSU-12 - Issues (Bottled Water) - Salinity
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	498
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	498	99.6%
1	2	0.4%

CWSU-12 - Issues (Bottled Water) - Taste
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	481
1	19

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

CWSU-12 - Issues (Bottled Water) - Smell
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	497
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	497	99.4%
1	3	0.6%

CWSU-12 - Issues (Bottled Water) - Turbidity
Categorical

Constant

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	500	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	500	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	500	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	500	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	500	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	500	100.0%

CWSU-12 - Issues (Bottled Water) - Costs
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	490
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

CWSU-12 - Issues (Bottled Water) - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	493
1	7

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	493	98.6%
1	7	1.4%

CWSU-12 - Issues (Bottled Water) - If others, input here
Text

Missing

Distinct	6
Distinct (%)	100.0%
Missing	494
Missing (%)	98.8%
Memory size	4.0 KiB

Length

Max length	20
Median length	17
Mean length	14.833333
Min length	7

Characters and Unicode

Total characters	89
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	100.0%

Sample

1st row	Malinis
2nd row	power interruption
3rd row	Schedule of Delivery
4th row	Delayed Delivery
5th row	interruption

Value	Count	Frequency (%)
interruption	2	18.2%
delivery	2	18.2%
malinis	1	9.1%
schedule	1	9.1%
power	1	9.1%
of	1	9.1%
delayed	1	9.1%
overused	1	9.1%
gallons	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
e	13	14.6%
r	8	9.0%
i	8	9.0%
l	7	7.9%
o	6	6.7%
n	6	6.7%
	5	5.6%
u	4	4.5%
t	4	4.5%
a	3	3.4%
Other values (13)	25	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	89	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	13	14.6%
r	8	9.0%
i	8	9.0%
l	7	7.9%
o	6	6.7%
n	6	6.7%
	5	5.6%
u	4	4.5%
t	4	4.5%
a	3	3.4%
Other values (13)	25	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	89	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	13	14.6%
r	8	9.0%
i	8	9.0%
l	7	7.9%
o	6	6.7%
n	6	6.7%
	5	5.6%
u	4	4.5%
t	4	4.5%
a	3	3.4%
Other values (13)	25	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	89	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	13	14.6%
r	8	9.0%
i	8	9.0%
l	7	7.9%
o	6	6.7%
n	6	6.7%
	5	5.6%
u	4	4.5%
t	4	4.5%
a	3	3.4%
Other values (13)	25	28.1%

CWSU-13 - Interruptions (days) - We have continuous water supply everyday
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	274
0	226

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	274	54.8%
0	226	45.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	274	54.8%
0	226	45.2%

Most occurring characters

Value	Count	Frequency (%)
1	274	54.8%
0	226	45.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	274	54.8%
0	226	45.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	274	54.8%
0	226	45.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	274	54.8%
0	226	45.2%

CWSU-13 - Interruptions (days) - Once a week
Categorical

Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	467
1	33

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	467	93.4%
1	33	6.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	467	93.4%
1	33	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	467	93.4%
1	33	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	467	93.4%
1	33	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	467	93.4%
1	33	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	467	93.4%
1	33	6.6%

CWSU-13 - Interruptions (days) - Twice a week
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	480
1	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	480	96.0%
1	20	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	480	96.0%
1	20	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	480	96.0%
1	20	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	480	96.0%
1	20	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	480	96.0%
1	20	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	480	96.0%
1	20	4.0%

CWSU-13 - Interruptions (days) - Thrice a week
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	491
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

CWSU-13 - Interruptions (days) - Others
Text

Missing

Distinct	24
Distinct (%)	55.8%
Missing	457
Missing (%)	91.4%
Memory size	4.0 KiB

Length

Max length	40
Median length	38
Mean length	11.372093
Min length	4

Characters and Unicode

Total characters	489
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	46.5%

Sample

1st row	No line of water
2nd row	No line of water
3rd row	No line of water
4th row	no water nawasa
5th row	No line

Value	Count	Frequency (%)
summer	20	22.0%
no	7	7.7%
line	4	4.4%
water	4	4.4%
season	4	4.4%
of	3	3.3%
twice	3	3.3%
every	3	3.3%
a	2	2.2%
late	2	2.2%
Other values (35)	39	42.9%

Most occurring characters

Value	Count	Frequency (%)
e	58	11.9%
	48	9.8%
m	45	9.2%
r	40	8.2%
a	27	5.5%
u	26	5.3%
o	23	4.7%
t	22	4.5%
S	20	4.1%
n	20	4.1%
Other values (35)	160	32.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	489	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	58	11.9%
	48	9.8%
m	45	9.2%
r	40	8.2%
a	27	5.5%
u	26	5.3%
o	23	4.7%
t	22	4.5%
S	20	4.1%
n	20	4.1%
Other values (35)	160	32.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	489	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	58	11.9%
	48	9.8%
m	45	9.2%
r	40	8.2%
a	27	5.5%
u	26	5.3%
o	23	4.7%
t	22	4.5%
S	20	4.1%
n	20	4.1%
Other values (35)	160	32.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	489	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	58	11.9%
	48	9.8%
m	45	9.2%
r	40	8.2%
a	27	5.5%
u	26	5.3%
o	23	4.7%
t	22	4.5%
S	20	4.1%
n	20	4.1%
Other values (35)	160	32.7%

CWSU-13 - Interruptions (days) - How many hours per day do you experience water interruption?
Text

Missing

Distinct	32
Distinct (%)	78.0%
Missing	459
Missing (%)	91.8%
Memory size	4.0 KiB

Length

Max length	33
Median length	16
Mean length	8.1219512
Min length	1

Characters and Unicode

Total characters	333
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	65.9%

Sample

1st row	Only Summer
2nd row	natyanan
3rd row	Tag-init lang
4th row	Wala
5th row	Wala

Value	Count	Frequency (%)
02-mar	5	7.7%
everyday	5	7.7%
hrs	4	6.2%
a	3	4.6%
feb-june	3	4.6%
wala	2	3.1%
summer	2	3.1%
2hrs	2	3.1%
2	2	3.1%
1-2	2	3.1%
Other values (34)	35	53.8%

Most occurring characters

Value	Count	Frequency (%)
a	30	9.0%
	24	7.2%
E	21	6.3%
r	17	5.1%
-	15	4.5%
2	14	4.2%
n	13	3.9%
R	12	3.6%
s	10	3.0%
h	9	2.7%
Other values (41)	168	50.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	333	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	30	9.0%
	24	7.2%
E	21	6.3%
r	17	5.1%
-	15	4.5%
2	14	4.2%
n	13	3.9%
R	12	3.6%
s	10	3.0%
h	9	2.7%
Other values (41)	168	50.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	333	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	30	9.0%
	24	7.2%
E	21	6.3%
r	17	5.1%
-	15	4.5%
2	14	4.2%
n	13	3.9%
R	12	3.6%
s	10	3.0%
h	9	2.7%
Other values (41)	168	50.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	333	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	30	9.0%
	24	7.2%
E	21	6.3%
r	17	5.1%
-	15	4.5%
2	14	4.2%
n	13	3.9%
R	12	3.6%
s	10	3.0%
h	9	2.7%
Other values (41)	168	50.5%

AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	264
0	236

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	264	52.8%
0	236	47.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	264	52.8%
0	236	47.2%

Most occurring characters

Value	Count	Frequency (%)
1	264	52.8%
0	236	47.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	264	52.8%
0	236	47.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	264	52.8%
0	236	47.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	264	52.8%
0	236	47.2%

AWTP-14 - Factors affecting Alt Sources - Reliability (consistent supply)
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	289
0	211

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	289	57.8%
0	211	42.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	289	57.8%
0	211	42.2%

Most occurring characters

Value	Count	Frequency (%)
1	289	57.8%
0	211	42.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	289	57.8%
0	211	42.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	289	57.8%
0	211	42.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	289	57.8%
0	211	42.2%

AWTP-14 - Factors affecting Alt Sources - Water Quality (Clean and safe)
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	350
0	150

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	350	70.0%
0	150	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	350	70.0%
0	150	30.0%

Most occurring characters

Value	Count	Frequency (%)
1	350	70.0%
0	150	30.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	350	70.0%
0	150	30.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	350	70.0%
0	150	30.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	350	70.0%
0	150	30.0%

AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	334
1	166

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	334	66.8%
1	166	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	334	66.8%
1	166	33.2%

Most occurring characters

Value	Count	Frequency (%)
0	334	66.8%
1	166	33.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	334	66.8%
1	166	33.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	334	66.8%
1	166	33.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	334	66.8%
1	166	33.2%

AWTP-14 - Factors affecting Alt Sources - Others
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	491
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	491	98.2%
1	9	1.8%

AWTP-14 - Factors affecting Alt Sources - If others, input here
Text

Missing

Distinct	3
Distinct (%)	100.0%
Missing	497
Missing (%)	99.4%
Memory size	4.0 KiB

Length

Max length	35
Median length	23
Mean length	25.666667
Min length	19

Characters and Unicode

Total characters	77
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	stick to usual supplier
2nd row	Hindi na magpapalit
3rd row	Residential Houses are over crowded

Value	Count	Frequency (%)
stick	1	8.3%
to	1	8.3%
usual	1	8.3%
supplier	1	8.3%
hindi	1	8.3%
na	1	8.3%
magpapalit	1	8.3%
residential	1	8.3%
houses	1	8.3%
are	1	8.3%
Other values (2)	2	16.7%

Most occurring characters

Value	Count	Frequency (%)
	9	11.7%
a	7	9.1%
e	7	9.1%
i	7	9.1%
s	6	7.8%
d	4	5.2%
l	4	5.2%
t	4	5.2%
o	4	5.2%
u	4	5.2%
Other values (11)	21	27.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	77	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	9	11.7%
a	7	9.1%
e	7	9.1%
i	7	9.1%
s	6	7.8%
d	4	5.2%
l	4	5.2%
t	4	5.2%
o	4	5.2%
u	4	5.2%
Other values (11)	21	27.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	77	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	9	11.7%
a	7	9.1%
e	7	9.1%
i	7	9.1%
s	6	7.8%
d	4	5.2%
l	4	5.2%
t	4	5.2%
o	4	5.2%
u	4	5.2%
Other values (11)	21	27.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	77	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	9	11.7%
a	7	9.1%
e	7	9.1%
i	7	9.1%
s	6	7.8%
d	4	5.2%
l	4	5.2%
t	4	5.2%
o	4	5.2%
u	4	5.2%
Other values (11)	21	27.3%

AWTP-15 - Desalination Awareness - Yes
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	266
1	234

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	266	53.2%
1	234	46.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	266	53.2%
1	234	46.8%

Most occurring characters

Value	Count	Frequency (%)
0	266	53.2%
1	234	46.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	266	53.2%
1	234	46.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	266	53.2%
1	234	46.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	266	53.2%
1	234	46.8%

AWTP-15 - Desalination Awareness - No
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	261
1	239

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	261	52.2%
1	239	47.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	261	52.2%
1	239	47.8%

Most occurring characters

Value	Count	Frequency (%)
0	261	52.2%
1	239	47.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	261	52.2%
1	239	47.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	261	52.2%
1	239	47.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	261	52.2%
1	239	47.8%

AWTP-16 - Desalinated Willingness - Yes
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	369
0	131

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	369	73.8%
0	131	26.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	369	73.8%
0	131	26.2%

Most occurring characters

Value	Count	Frequency (%)
1	369	73.8%
0	131	26.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	369	73.8%
0	131	26.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	369	73.8%
0	131	26.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	369	73.8%
0	131	26.2%

AWTP-16 - Desalinated Willingness - No
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	399
1	101

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring characters

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	399	79.8%
1	101	20.2%

AWTP-17 - Desalinated Premium Pay - Yes
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	366
1	134

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	366	73.2%
1	134	26.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	366	73.2%
1	134	26.8%

Most occurring characters

Value	Count	Frequency (%)
0	366	73.2%
1	134	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	366	73.2%
1	134	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	366	73.2%
1	134	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	366	73.2%
1	134	26.8%

AWTP-17 - Desalinated Premium Pay - No
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	383
1	117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring characters

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	383	76.6%
1	117	23.4%

AWTP-17 - Desalinated Premium Pay - Depends on the cost difference
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	333
1	167

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	333	66.6%
1	167	33.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	333	66.6%
1	167	33.4%

Most occurring characters

Value	Count	Frequency (%)
0	333	66.6%
1	167	33.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	333	66.6%
1	167	33.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	333	66.6%
1	167	33.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	333	66.6%
1	167	33.4%

AWTP-17 - Desalinated Premium Pay - If yes, in what payment structure
Unsupported

Missing Rejected Unsupported

Missing	500
Missing (%)	100.0%
Memory size	4.0 KiB

AWTP-17 - Desalinated Premium Pay - Fixed tariff
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	478
1	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	478	95.6%
1	22	4.4%

AWTP-17 - Desalinated Premium Pay - Tiered pricing
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	442
1	58

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	442	88.4%
1	58	11.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	442	88.4%
1	58	11.6%

Most occurring characters

Value	Count	Frequency (%)
0	442	88.4%
1	58	11.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	442	88.4%
1	58	11.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	442	88.4%
1	58	11.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	442	88.4%
1	58	11.6%

AWTP-17 - Desalinated Premium Pay - Pay per use
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	421
1	79

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	421	84.2%
1	79	15.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	421	84.2%
1	79	15.8%

Most occurring characters

Value	Count	Frequency (%)
0	421	84.2%
1	79	15.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	421	84.2%
1	79	15.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	421	84.2%
1	79	15.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	421	84.2%
1	79	15.8%

AWTP-17 - Desalinated Premium Pay - Seasonal
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	476
1	24

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring characters

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	476	95.2%
1	24	4.8%

AWTP - Max Price - Commercial - 160
Categorical

High correlation

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	283
1	217

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	283	56.6%
1	217	43.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	283	56.6%
1	217	43.4%

Most occurring characters

Value	Count	Frequency (%)
0	283	56.6%
1	217	43.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	283	56.6%
1	217	43.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	283	56.6%
1	217	43.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	283	56.6%
1	217	43.4%

AWTP - Max Price - Commercial - 200
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	455
1	45

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	455	91.0%
1	45	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	455	91.0%
1	45	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	455	91.0%
1	45	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	455	91.0%
1	45	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	455	91.0%
1	45	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	455	91.0%
1	45	9.0%

AWTP - Max Price - Commercial - 100
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	466
1	34

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	466	93.2%
1	34	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	466	93.2%
1	34	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	466	93.2%
1	34	6.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	466	93.2%
1	34	6.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	466	93.2%
1	34	6.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	466	93.2%
1	34	6.8%

AWTP-19 - Max Price - Commercial - Others
Text

Missing

Distinct	12
Distinct (%)	52.2%
Missing	477
Missing (%)	95.4%
Memory size	4.0 KiB

Length

Max length	5
Median length	2
Mean length	2.4347826
Min length	2

Characters and Unicode

Total characters	56
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	30.4%

Sample

1st row	20
2nd row	80
3rd row	300
4th row	1,500
5th row	100

Value	Count	Frequency (%)
30	5	21.7%
35	3	13.0%
100	3	13.0%
25	3	13.0%
300	2	8.7%
1,500	1	4.3%
20	1	4.3%
80	1	4.3%
600	1	4.3%
40	1	4.3%
Other values (2)	2	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	24	42.9%
3	10	17.9%
5	9	16.1%
1	5	8.9%
2	4	7.1%
,	1	1.8%
8	1	1.8%
6	1	1.8%
4	1	1.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	56	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	24	42.9%
3	10	17.9%
5	9	16.1%
1	5	8.9%
2	4	7.1%
,	1	1.8%
8	1	1.8%
6	1	1.8%
4	1	1.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	56	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	24	42.9%
3	10	17.9%
5	9	16.1%
1	5	8.9%
2	4	7.1%
,	1	1.8%
8	1	1.8%
6	1	1.8%
4	1	1.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	56	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	24	42.9%
3	10	17.9%
5	9	16.1%
1	5	8.9%
2	4	7.1%
,	1	1.8%
8	1	1.8%
6	1	1.8%
4	1	1.8%

AWTP-19 - Max Price - Residential - 50
Categorical

High correlation Missing

Distinct	2
Distinct (%)	1.4%
Missing	360
Missing (%)	72.0%
Memory size	4.0 KiB

1.0	84
0.0	56

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	420
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	84	16.8%
0.0	56	11.2%
(Missing)	360	72.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	84	60.0%
0.0	56	40.0%

Most occurring characters

Value	Count	Frequency (%)
0	196	46.7%
.	140	33.3%
1	84	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	196	46.7%
.	140	33.3%
1	84	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	196	46.7%
.	140	33.3%
1	84	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	196	46.7%
.	140	33.3%
1	84	20.0%

AWTP-19 - Max Price - Residential - 80
Categorical

High correlation Imbalance Missing

Distinct	2
Distinct (%)	1.4%
Missing	360
Missing (%)	72.0%
Memory size	4.0 KiB

0.0	131
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	420
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	131	26.2%
1.0	9	1.8%
(Missing)	360	72.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	131	93.6%
1.0	9	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	271	64.5%
.	140	33.3%
1	9	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	271	64.5%
.	140	33.3%
1	9	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	271	64.5%
.	140	33.3%
1	9	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	271	64.5%
.	140	33.3%
1	9	2.1%

AWTP-19 - Max Price - Residential - 100
Categorical

High correlation Missing

Distinct	2
Distinct (%)	1.4%
Missing	360
Missing (%)	72.0%
Memory size	4.0 KiB

0.0	121
1.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	420
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	121	24.2%
1.0	19	3.8%
(Missing)	360	72.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	121	86.4%
1.0	19	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	261	62.1%
.	140	33.3%
1	19	4.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	261	62.1%
.	140	33.3%
1	19	4.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	261	62.1%
.	140	33.3%
1	19	4.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	261	62.1%
.	140	33.3%
1	19	4.5%

AWTP-19 - Max Price - Residential - Others
Categorical

High correlation Missing

Distinct	5
Distinct (%)	41.7%
Missing	488
Missing (%)	97.6%
Memory size	4.0 KiB

30	6
35	3
20	1
25	1
less than 50	1

Length

Max length	12
Median length	2
Mean length	2.8333333
Min length	2

Characters and Unicode

Total characters	34
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	25.0%

Sample

1st row	35
2nd row	30
3rd row	30
4th row	30
5th row	30

Common Values

Value	Count	Frequency (%)
30	6	1.2%
35	3	0.6%
20	1	0.2%
25	1	0.2%
less than 50	1	0.2%
(Missing)	488	97.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
30	6	42.9%
35	3	21.4%
20	1	7.1%
25	1	7.1%
less	1	7.1%
than	1	7.1%
50	1	7.1%

Most occurring characters

Value	Count	Frequency (%)
3	9	26.5%
0	8	23.5%
5	5	14.7%
2	2	5.9%
	2	5.9%
s	2	5.9%
e	1	2.9%
l	1	2.9%
t	1	2.9%
h	1	2.9%
Other values (2)	2	5.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	9	26.5%
0	8	23.5%
5	5	14.7%
2	2	5.9%
	2	5.9%
s	2	5.9%
e	1	2.9%
l	1	2.9%
t	1	2.9%
h	1	2.9%
Other values (2)	2	5.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	9	26.5%
0	8	23.5%
5	5	14.7%
2	2	5.9%
	2	5.9%
s	2	5.9%
e	1	2.9%
l	1	2.9%
t	1	2.9%
h	1	2.9%
Other values (2)	2	5.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	9	26.5%
0	8	23.5%
5	5	14.7%
2	2	5.9%
	2	5.9%
s	2	5.9%
e	1	2.9%
l	1	2.9%
t	1	2.9%
h	1	2.9%
Other values (2)	2	5.9%

AWTP-20 - Budget - < 3000
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

1	358
0	142

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	358	71.6%
0	142	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	358	71.6%
0	142	28.4%

Most occurring characters

Value	Count	Frequency (%)
1	358	71.6%
0	142	28.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	358	71.6%
0	142	28.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	358	71.6%
0	142	28.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	358	71.6%
0	142	28.4%

AWTP-20 - Budget - 3000 - 6000
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	481
1	19

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	481	96.2%
1	19	3.8%

AWTP-20 - Budget - 6000 - 9000
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	490
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	490	98.0%
1	10	2.0%

AWTP-20 - Budget - 9000 - 15000
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.0 KiB

0	492
1	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	500
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	492	98.4%
1	8	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	492	98.4%
1	8	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	492	98.4%
1	8	1.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	492	98.4%
1	8	1.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	492	98.4%
1	8	1.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	500	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	492	98.4%
1	8	1.6%

AWTP-20 - Budget - Others
Categorical

High correlation Missing

Distinct	19
Distinct (%)	38.0%
Missing	450
Missing (%)	90.0%
Memory size	4.0 KiB

500	13
1,000	12
1000	4
250	3
600	3
Other values (14)	15

Length

Max length	27
Median length	15
Mean length	4.76
Min length	2

Characters and Unicode

Total characters	238
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	26.0%

Sample

1st row	600
2nd row	500
3rd row	500
4th row	Depends on everyday consume
5th row	250

Common Values

Value	Count	Frequency (%)
500	13	2.6%
1,000	12	2.4%
1000	4	0.8%
250	3	0.6%
600	3	0.6%
400	2	0.4%
Depends on everyday consume	1	0.2%
200-300	1	0.2%
less than 1,000	1	0.2%
1,500	1	0.2%
Other values (9)	9	1.8%
(Missing)	450	90.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
500	14	24.6%
1,000	13	22.8%
1000	4	7.0%
250	3	5.3%
600	3	5.3%
400	2	3.5%
than	2	3.5%
less	2	3.5%
depends	1	1.8%
on	1	1.8%
Other values (12)	12	21.1%

Most occurring characters

Value	Count	Frequency (%)
0	118	49.6%
5	20	8.4%
1	19	8.0%
,	16	6.7%
	7	2.9%
e	7	2.9%
s	6	2.5%
2	6	2.5%
n	5	2.1%
6	3	1.3%
Other values (20)	31	13.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	238	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	118	49.6%
5	20	8.4%
1	19	8.0%
,	16	6.7%
	7	2.9%
e	7	2.9%
s	6	2.5%
2	6	2.5%
n	5	2.1%
6	3	1.3%
Other values (20)	31	13.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	238	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	118	49.6%
5	20	8.4%
1	19	8.0%
,	16	6.7%
	7	2.9%
e	7	2.9%
s	6	2.5%
2	6	2.5%
n	5	2.1%
6	3	1.3%
Other values (20)	31	13.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	238	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	118	49.6%
5	20	8.4%
1	19	8.0%
,	16	6.7%
	7	2.9%
e	7	2.9%
s	6	2.5%
2	6	2.5%
n	5	2.1%
6	3	1.3%
Other values (20)	31	13.0%

AWTP-21 - Concerns
Text

Missing

Distinct	108
Distinct (%)	78.8%
Missing	363
Missing (%)	72.6%
Memory size	4.0 KiB

Length

Max length	123
Median length	64
Mean length	26.416058
Min length	2

Characters and Unicode

Total characters	3619
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	103 ?
Unique (%)	75.2%

Sample

1st row	Mabuti
2nd row	Free water delivery in summer
3rd row	Not sure kasi may laman pa ang pump well
4th row	Kung maganda, okay.
5th row	Cheap, quality, time distribution

Value	Count	Frequency (%)
tubig	29	4.4%
water	27	4.1%
no	27	4.1%
ang	26	4.0%
ng	24	3.7%
summer	14	2.1%
pag	14	2.1%
na	12	1.8%
of	11	1.7%
sa	11	1.7%
Other values (262)	460	70.2%

Most occurring characters

Value	Count	Frequency (%)
	521	14.4%
a	451	12.5%
n	256	7.1%
e	197	5.4%
i	189	5.2%
t	178	4.9%
s	174	4.8%
g	173	4.8%
o	167	4.6%
r	161	4.4%
Other values (49)	1152	31.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3619	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	521	14.4%
a	451	12.5%
n	256	7.1%
e	197	5.4%
i	189	5.2%
t	178	4.9%
s	174	4.8%
g	173	4.8%
o	167	4.6%
r	161	4.4%
Other values (49)	1152	31.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3619	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	521	14.4%
a	451	12.5%
n	256	7.1%
e	197	5.4%
i	189	5.2%
t	178	4.9%
s	174	4.8%
g	173	4.8%
o	167	4.6%
r	161	4.4%
Other values (49)	1152	31.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3619	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	521	14.4%
a	451	12.5%
n	256	7.1%
e	197	5.4%
i	189	5.2%
t	178	4.9%
s	174	4.8%
g	173	4.8%
o	167	4.6%
r	161	4.4%
Other values (49)	1152	31.8%

Interactions

Correlations

	AWTP - Max Price - Commercial - 100	AWTP - Max Price - Commercial - 160	AWTP - Max Price - Commercial - 200	AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness	AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support	AWTP-14 - Factors affecting Alt Sources - Others	AWTP-14 - Factors affecting Alt Sources - Reliability (consistent supply)	AWTP-14 - Factors affecting Alt Sources - Water Quality (Clean and safe)	AWTP-15 - Desalination Awareness - No	AWTP-15 - Desalination Awareness - Yes	AWTP-16 - Desalinated Willingness - No	AWTP-16 - Desalinated Willingness - Yes	AWTP-17 - Desalinated Premium Pay - Depends on the cost difference	AWTP-17 - Desalinated Premium Pay - Fixed tariff	AWTP-17 - Desalinated Premium Pay - No	AWTP-17 - Desalinated Premium Pay - Pay per use	AWTP-17 - Desalinated Premium Pay - Seasonal	AWTP-17 - Desalinated Premium Pay - Tiered pricing	AWTP-17 - Desalinated Premium Pay - Yes	AWTP-19 - Max Price - Residential - 100	AWTP-19 - Max Price - Residential - 50	AWTP-19 - Max Price - Residential - 80	AWTP-19 - Max Price - Residential - Others	AWTP-20 - Budget - 3000 - 6000	AWTP-20 - Budget - 6000 - 9000	AWTP-20 - Budget - 9000 - 15000	AWTP-20 - Budget - < 3000	AWTP-20 - Budget - Others	Barangay	CWSU-1 - Usage - Cleaning & Sanitation	CWSU-1 - Usage - Drinking	CWSU-1 - Usage - Food preparation	CWSU-1 - Usage - Landscaping/Irrigation	CWSU-1 - Usage - Manufacturing/Production	CWSU-1 - Usage - Others	CWSU-10 - Issues (Deep Well) - Costs	CWSU-10 - Issues (Deep Well) - N/A	CWSU-10 - Issues (Deep Well) - No	CWSU-10 - Issues (Deep Well) - Others	CWSU-10 - Issues (Deep Well) - Salinity	CWSU-10 - Issues (Deep Well) - Smell	CWSU-10 - Issues (Deep Well) - Supply interruption	CWSU-10 - Issues (Deep Well) - Taste	CWSU-10 - Issues (Deep Well) - Turbidity	CWSU-10 - Issues (Deep Well) - Yes	CWSU-11 - Issues (Truck Water) - Costs	CWSU-11 - Issues (Truck Water) - N/A	CWSU-11 - Issues (Truck Water) - No	CWSU-11 - Issues (Truck Water) - Others	CWSU-11 - Issues (Truck Water) - Salinity	CWSU-11 - Issues (Truck Water) - Smell	CWSU-11 - Issues (Truck Water) - Supply interruption	CWSU-11 - Issues (Truck Water) - Taste	CWSU-11 - Issues (Truck Water) - Turbidity	CWSU-11 - Issues (Truck Water) - Yes	CWSU-12 - Issues (Bottled Water) - Costs	CWSU-12 - Issues (Bottled Water) - N/A	CWSU-12 - Issues (Bottled Water) - No	CWSU-12 - Issues (Bottled Water) - Others	CWSU-12 - Issues (Bottled Water) - Salinity	CWSU-12 - Issues (Bottled Water) - Smell	CWSU-12 - Issues (Bottled Water) - Supply interruption	CWSU-12 - Issues (Bottled Water) - Taste	CWSU-12 - Issues (Bottled Water) - Yes	CWSU-13 - Interruptions (days) - Once a week	CWSU-13 - Interruptions (days) - Thrice a week	CWSU-13 - Interruptions (days) - Twice a week	CWSU-13 - Interruptions (days) - We have continuous water supply everyday	CWSU-2 - Treatment	CWSU-3 - Current Sources - Bottled water (5 gallons)	CWSU-3 - Current Sources - Deep Well (owned)	CWSU-3 - Current Sources - Others	CWSU-3 - Current Sources - Tap Water (Water District etc.)	CWSU-3 - Current Sources - Truck Delivery Services (5 m3)	CWSU-4 - Primary Drinking Source - Bottled water (5 gallons)	CWSU-4 - Primary Drinking Source - Deep Well (owned)	CWSU-4 - Primary Drinking Source - Others	CWSU-4 - Primary Drinking Source - Tap Water (Water District etc.)	CWSU-4 - Primary Drinking Source - Truck Delivery Services (5 m3)	CWSU-4 - Primary Drinking Source - gals	CWSU-5 - Ave Demand (in cbm)	CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)	CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)	CWSU-7 - Peak Month - End	CWSU-7 - Peak Month - Start	CWSU-8 - Monthly Costs - Less than PhP 1,000	CWSU-8 - Monthly Costs - Others:	CWSU-8 - Monthly Costs - PhP 1,000 - PhP 3,000	CWSU-8 - Monthly Costs - PhP 10,000 and above	CWSU-8 - Monthly Costs - PhP 3,000 - PhP 5,000	CWSU-8 - Monthly Costs - PhP 5,000 - PhP 10,000	CWSU-8 - Monthly Costs - Truck Delivery	CWSU-9 - Issues (Tap Water) - N/A	CWSU-9 - Issues (Tap Water) - No	CWSU-9 - Issues (Tap Water) - Others	CWSU-9 - Issues (Tap Water) - Salinity	CWSU-9 - Issues (Tap Water) - Smell	CWSU-9 - Issues (Tap Water) - Supply interruption	CWSU-9 - Issues (Tap Water) - Taste	CWSU-9 - Issues (Tap Water) - Turbidity	CWSU-9 - Issues (Tap Water) - Yes	Classification	GI - Business Location/Address	GI - Date	GI - Interviewer	GI - Members	GI - Operating Hours - End	GI - Operating Hours - Start	GI - Remarks (Small, Medium, Large, Residential)	GI - Type of Business
AWTP - Max Price - Commercial - 100	1.000	0.224	0.055	0.032	0.046	0.000	0.000	0.068	0.080	0.112	0.000	0.000	0.000	0.000	0.047	0.102	0.000	0.000	0.144	0.307	0.178	0.000	1.000	0.080	0.000	0.000	0.000	0.350	0.143	0.000	0.000	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.053	0.079	0.000	0.100	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.035	0.000	0.053	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.162	0.000	0.031	0.000	0.000	0.000	0.000	0.150	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.570	0.291	0.346	0.050	0.000	0.000	0.063	0.000	0.000	0.929	0.000	0.048	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.190	0.116	0.258	0.000	0.000	0.000	0.000	0.282
AWTP - Max Price - Commercial - 160	0.224	1.000	0.265	0.146	0.134	0.058	0.158	0.061	0.093	0.000	0.000	0.051	0.073	0.087	0.000	0.074	0.037	0.000	0.041	0.048	0.057	0.000	1.000	0.000	0.000	0.000	0.137	0.378	0.566	0.052	0.000	0.000	0.000	0.030	0.044	0.000	0.000	0.118	0.000	0.000	0.043	0.000	0.000	0.000	0.043	0.000	0.000	0.073	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.078	0.028	0.000	0.000	0.000	0.065	0.098	0.000	0.058	0.000	0.118	0.000	0.028	0.000	0.028	0.031	0.000	0.032	0.000	0.000	0.000	0.000	0.226	0.089	0.000	0.000	0.161	0.108	0.000	0.015	0.098	0.000	0.000	0.000	0.854	0.013	0.000	0.000	0.000	0.000	0.000	0.000	0.030	0.000	0.414	0.440	0.379	0.361	0.170	0.127	0.072	0.462	0.212
AWTP - Max Price - Commercial - 200	0.055	0.265	1.000	0.009	0.000	0.000	0.000	0.000	0.000	0.043	0.044	0.089	0.000	0.000	0.000	0.000	0.000	0.056	0.000	0.000	0.082	0.332	1.000	0.131	0.000	0.000	0.000	0.000	0.242	0.040	0.000	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.064	0.000	0.000	0.000	0.000	0.102	0.000	0.000	0.034	0.000	0.000	0.079	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.101	0.000	0.031	0.000	0.000	0.106	0.000	0.000	0.000	0.000	0.094	0.000	0.113	0.000	0.000	0.000	0.233	0.000	0.033	0.000	0.000	0.026	0.080	0.000	0.591	0.120	0.079	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.101	0.131	0.201	0.085	0.000	0.000	0.168	0.104	0.140
AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness	0.032	0.146	0.009	1.000	0.525	0.087	0.460	0.353	0.049	0.000	0.000	0.041	0.089	0.061	0.000	0.000	0.120	0.058	0.000	0.106	0.255	0.038	0.000	0.000	0.045	0.095	0.036	0.442	0.466	0.193	0.073	0.139	0.000	0.022	0.000	0.000	0.000	0.000	0.000	0.011	0.051	0.000	0.120	0.114	0.000	0.042	0.084	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.030	0.000	0.000	0.000	0.000	0.082	0.000	0.085	0.000	0.000	0.032	0.000	0.046	0.058	0.000	0.022	0.040	0.117	0.081	0.000	0.000	0.000	0.176	0.000	0.000	0.121	0.196	0.099	0.000	0.000	0.037	0.061	0.000	0.000	0.118	0.045	0.000	0.010	0.000	0.047	0.000	0.000	0.000	0.027	0.000	0.482	0.189	0.430	0.000	0.073	0.000	0.236	0.136
AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support	0.046	0.134	0.000	0.525	1.000	0.016	0.433	0.324	0.074	0.000	0.000	0.037	0.078	0.098	0.000	0.000	0.164	0.053	0.062	0.063	0.000	0.000	0.219	0.000	0.049	0.044	0.044	0.528	0.468	0.206	0.097	0.143	0.060	0.111	0.000	0.000	0.086	0.000	0.000	0.000	0.000	0.061	0.078	0.130	0.103	0.000	0.045	0.039	0.000	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.082	0.040	0.000	0.000	0.000	0.000	0.050	0.093	0.045	0.000	0.000	0.000	0.044	0.189	0.000	0.076	0.000	0.179	0.000	0.042	0.000	0.185	0.082	0.029	0.000	0.000	0.008	0.073	0.019	0.000	0.000	0.051	0.021	0.000	0.000	0.000	0.019	0.000	0.000	0.000	0.485	0.167	0.474	0.183	0.000	0.000	0.222	0.168
AWTP-14 - Factors affecting Alt Sources - Others	0.000	0.058	0.000	0.087	0.016	1.000	0.136	0.151	0.000	0.000	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.057	1.000	0.000	0.000	0.057	0.111	0.000	0.000	0.000	0.079	0.929	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.174	0.311	0.000	0.000	0.000	0.000
AWTP-14 - Factors affecting Alt Sources - Reliability (consistent supply)	0.000	0.158	0.000	0.460	0.433	0.136	1.000	0.281	0.000	0.089	0.000	0.113	0.000	0.060	0.000	0.000	0.157	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.081	0.094	0.434	0.298	0.161	0.119	0.107	0.052	0.048	0.000	0.000	0.073	0.000	0.000	0.074	0.000	0.106	0.117	0.119	0.118	0.000	0.102	0.059	0.030	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.000	0.051	0.000	0.000	0.000	0.000	0.060	0.000	0.000	0.000	0.000	0.000	0.000	0.108	0.136	0.000	0.000	0.000	0.120	0.145	0.000	0.040	0.000	0.176	0.049	0.000	0.000	0.161	0.000	0.065	0.000	0.000	0.083	0.000	0.000	0.228	0.000	0.000	0.000	0.000	0.000	0.032	0.000	0.000	0.000	0.039	0.304	0.126	0.294	0.000	0.000	0.052	0.067	0.149
AWTP-14 - Factors affecting Alt Sources - Water Quality (Clean and safe)	0.068	0.061	0.000	0.353	0.324	0.151	0.281	1.000	0.000	0.121	0.035	0.206	0.000	0.049	0.000	0.023	0.108	0.156	0.000	0.000	0.000	0.000	0.387	0.000	0.000	0.049	0.168	0.135	0.346	0.193	0.138	0.225	0.000	0.000	0.000	0.000	0.053	0.000	0.000	0.029	0.040	0.116	0.032	0.000	0.098	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.102	0.134	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.083	0.000	0.024	0.115	0.000	0.064	0.000	0.194	0.060	0.000	0.052	0.000	0.226	0.000	0.000	0.317	0.117	0.000	0.000	0.000	0.059	0.000	0.025	0.000	0.059	0.020	0.000	0.000	0.000	0.000	0.054	0.000	0.000	0.022	0.070	0.362	0.143	0.214	0.000	0.000	0.000	0.152	0.275
AWTP-15 - Desalination Awareness - No	0.080	0.093	0.000	0.049	0.074	0.000	0.000	0.000	1.000	0.893	0.278	0.194	0.000	0.000	0.209	0.066	0.035	0.000	0.133	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.035	0.070	0.285	0.000	0.105	0.000	0.000	0.040	0.000	0.000	0.000	0.072	0.000	0.092	0.047	0.040	0.000	0.000	0.000	0.044	0.045	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.024	0.047	0.019	0.092	0.000	0.000	0.000	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.157	0.062	0.057	0.000	0.043	0.000	0.020	0.097	0.036	0.000	0.000	0.113	0.076	0.163	0.005	0.092	0.157	0.000	0.000	0.000	0.038	0.000	0.056	0.000	0.000	0.000	0.000	0.092	0.050	0.010	0.082	0.000	0.092	0.082	0.290	0.000	0.326	0.304	0.099	0.000	0.155	0.223
AWTP-15 - Desalination Awareness - Yes	0.112	0.000	0.043	0.000	0.000	0.000	0.089	0.121	0.893	1.000	0.223	0.314	0.066	0.000	0.147	0.095	0.000	0.000	0.174	0.000	0.000	0.000	0.387	0.000	0.027	0.034	0.028	0.070	0.286	0.095	0.000	0.053	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.110	0.000	0.081	0.000	0.000	0.033	0.061	0.033	0.024	0.058	0.000	0.000	0.000	0.000	0.000	0.058	0.067	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.018	0.000	0.000	0.000	0.000	0.068	0.000	0.000	0.000	0.000	0.000	0.034	0.063	0.078	0.000	0.000	0.093	0.087	0.158	0.005	0.072	0.150	0.000	0.000	0.027	0.069	0.000	0.023	0.000	0.000	0.024	0.000	0.110	0.075	0.073	0.102	0.013	0.134	0.117	0.276	0.068	0.322	0.265	0.075	0.000	0.160	0.227
AWTP-16 - Desalinated Willingness - No	0.000	0.000	0.044	0.000	0.000	0.000	0.000	0.035	0.278	0.223	1.000	0.816	0.098	0.000	0.420	0.136	0.091	0.086	0.239	0.000	0.000	0.108	0.000	0.000	0.000	0.000	0.000	0.000	0.274	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.020	0.038	0.000	0.052	0.000	0.029	0.046	0.000	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.095	0.000	0.000	0.000	0.000	0.000	0.052	0.000	0.000	0.000	0.000	0.094	0.056	0.000	0.000	0.000	0.000	0.000	0.029	0.000	0.000	0.000	0.000	0.000	0.228	0.017	0.150	0.000	0.000	0.000	0.000	0.022	0.000	0.000	0.000	0.000	0.075	0.000	0.000	0.071	0.071	0.000	0.000	0.079	0.000	0.209	0.000	0.292	0.000	0.000	0.089	0.000	0.000
AWTP-16 - Desalinated Willingness - Yes	0.000	0.051	0.089	0.041	0.037	0.000	0.113	0.206	0.194	0.314	0.816	1.000	0.130	0.023	0.340	0.146	0.115	0.145	0.280	0.000	0.121	0.042	0.000	0.038	0.000	0.000	0.116	0.000	0.323	0.159	0.078	0.128	0.079	0.040	0.000	0.000	0.030	0.000	0.000	0.059	0.000	0.054	0.000	0.059	0.057	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.008	0.000	0.000	0.000	0.026	0.000	0.000	0.000	0.038	0.093	0.000	0.000	0.000	0.061	0.000	0.151	0.000	0.000	0.000	0.000	0.166	0.000	0.000	0.000	0.000	0.158	0.000	0.105	0.000	0.116	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.065	0.087	0.000	0.000	0.099	0.000	0.272	0.102	0.290	0.095	0.056	0.135	0.000	0.000
AWTP-17 - Desalinated Premium Pay - Depends on the cost difference	0.000	0.073	0.000	0.089	0.078	0.000	0.000	0.000	0.000	0.066	0.098	0.130	1.000	0.134	0.384	0.000	0.142	0.123	0.364	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.060	0.364	0.333	0.022	0.120	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.113	0.000	0.000	0.000	0.020	0.000	0.033	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.038	0.000	0.000	0.000	0.000	0.060	0.017	0.000	0.000	0.000	0.055	0.000	0.000	0.000	0.000	0.104	0.130	0.091	0.000	0.156	0.071	0.159	0.000	0.000	0.000	0.000	0.000	0.000	0.315	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.290	0.092	0.370	0.000	0.000	0.023	0.132	0.205
AWTP-17 - Desalinated Premium Pay - Fixed tariff	0.000	0.087	0.000	0.061	0.098	0.000	0.060	0.049	0.000	0.000	0.000	0.023	0.134	1.000	0.097	0.028	0.000	0.044	0.115	0.122	0.000	0.000	1.000	0.000	0.000	0.000	0.068	0.000	0.176	0.035	0.000	0.000	0.000	0.000	0.000	0.045	0.000	0.000	0.000	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.123	0.061	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.067	0.000	0.078	0.050	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.088	0.000	0.000	0.114	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.135	0.000	0.035	0.000	0.054	0.000	0.000	0.000	0.227	0.000	0.176	0.193	0.000	0.000
AWTP-17 - Desalinated Premium Pay - No	0.047	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.209	0.147	0.420	0.340	0.384	0.097	1.000	0.216	0.104	0.157	0.326	0.132	0.165	0.000	0.000	0.000	0.043	0.026	0.000	0.475	0.361	0.083	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.105	0.000	0.000	0.000	0.075	0.014	0.000	0.084	0.000	0.069	0.155	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.000	0.000	0.000	0.057	0.029	0.042	0.000	0.000	0.054	0.071	0.086	0.093	0.008	0.011	0.000	0.000	0.000	0.000	0.063	0.000	0.153	0.058	0.000	0.000	0.204	0.146	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.000	0.125	0.000	0.000	0.000	0.081	0.000	0.000	0.054	0.000	0.341	0.225	0.409	0.130	0.000	0.000	0.000	0.000
AWTP-17 - Desalinated Premium Pay - Pay per use	0.102	0.074	0.000	0.000	0.000	0.000	0.000	0.023	0.066	0.095	0.136	0.146	0.000	0.028	0.216	1.000	0.038	0.123	0.373	0.000	0.000	0.000	0.837	0.056	0.000	0.000	0.000	0.180	0.447	0.098	0.072	0.022	0.000	0.061	0.000	0.000	0.065	0.000	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.102	0.000	0.000	0.000	0.029	0.137	0.000	0.029	0.093	0.135	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.041	0.000	0.000	0.000	0.000	0.111	0.000	0.000	0.000	0.000	0.109	0.091	0.039	0.000	0.060	0.000	0.018	0.297	0.000	0.000	0.160	0.199	0.000	0.000	0.043	0.030	0.047	0.000	0.390	0.000	0.000	0.000	0.000	0.064	0.000	0.000	0.000	0.000	0.078	0.319	0.207	0.357	0.000	0.150	0.036	0.177	0.269
AWTP-17 - Desalinated Premium Pay - Seasonal	0.000	0.037	0.000	0.120	0.164	0.000	0.157	0.108	0.035	0.000	0.091	0.115	0.142	0.000	0.104	0.038	1.000	0.000	0.000	0.000	0.117	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.753	0.047	0.038	0.121	0.053	0.167	0.000	0.000	0.000	0.019	0.000	0.000	0.000	0.000	0.140	0.185	0.038	0.000	0.000	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.040	0.000	0.000	0.170	0.112	0.000	0.000	0.000	0.157	0.090	0.092	0.000	0.000	0.014	0.000	0.085	0.000	0.000	0.000	0.000	0.208	0.000	0.284	0.000	0.000	0.000	0.101	0.000	0.000	0.000	0.000	0.000	0.133	0.000	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.788	0.173	0.792	0.000	0.000	0.000	0.000	0.111
AWTP-17 - Desalinated Premium Pay - Tiered pricing	0.000	0.000	0.056	0.058	0.053	0.000	0.023	0.156	0.000	0.000	0.086	0.145	0.123	0.044	0.157	0.123	0.000	1.000	0.087	0.171	0.168	0.000	0.000	0.000	0.000	0.000	0.101	0.000	0.424	0.103	0.039	0.107	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.098	0.000	0.028	0.060	0.000	0.099	0.046	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.056	0.196	0.081	0.033	0.000	0.037	0.008	0.071	0.084	0.000	0.081	0.000	0.149	0.000	0.000	0.000	0.000	0.099	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.027	0.000	0.000	0.000	0.015	0.055	0.000	0.000	0.000	0.000	0.369	0.175	0.354	0.000	0.432	0.425	0.136	0.000
AWTP-17 - Desalinated Premium Pay - Yes	0.144	0.041	0.000	0.000	0.062	0.000	0.000	0.000	0.133	0.174	0.239	0.280	0.364	0.115	0.326	0.373	0.000	0.087	1.000	0.234	0.000	0.062	0.837	0.000	0.038	0.000	0.000	0.137	0.290	0.093	0.090	0.000	0.000	0.047	0.000	0.000	0.000	0.000	0.035	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.072	0.000	0.021	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.014	0.062	0.000	0.049	0.000	0.041	0.000	0.000	0.000	0.089	0.000	0.053	0.034	0.000	0.000	0.000	0.000	0.100	0.000	0.000	0.028	0.065	0.130	0.098	0.036	0.000	0.117	0.040	0.271	0.148	0.273	0.099	0.031	0.184	0.000	0.037
AWTP-19 - Max Price - Residential - 100	0.307	0.048	0.000	0.106	0.063	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.122	0.132	0.000	0.000	0.171	0.234	1.000	0.458	0.000	1.000	1.000	1.000	1.000	0.000	0.620	0.349	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.095	0.000	0.000	0.068	0.000	0.000	0.035	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.094	0.150	0.085	1.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.250	0.000	1.000	1.000	0.101	0.120	0.122	1.000	0.000	0.000	0.000	0.000	0.325	0.122	0.000	0.085	0.000	0.131	0.000	0.000	0.000	0.000	1.000	0.368	0.076	0.000	0.075	0.000	0.000	1.000	0.000
AWTP-19 - Max Price - Residential - 50	0.178	0.057	0.082	0.255	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.121	0.009	0.000	0.165	0.000	0.117	0.168	0.000	0.458	1.000	0.280	1.000	1.000	1.000	1.000	0.291	0.000	0.509	0.000	0.074	0.000	0.000	0.126	1.000	0.000	0.000	0.126	0.000	0.000	0.000	0.075	0.000	0.000	0.144	0.000	0.111	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.082	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.014	0.000	0.209	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.014	0.000	0.019	0.093	0.000	1.000	1.000	0.000	0.347	0.040	1.000	0.000	0.000	0.046	0.000	0.000	0.000	0.000	0.144	0.000	0.000	0.000	0.019	0.000	0.000	1.000	0.438	0.070	0.509	0.012	0.000	0.000	1.000	0.000
AWTP-19 - Max Price - Residential - 80	0.000	0.000	0.332	0.038	0.000	0.000	0.000	0.000	0.000	0.000	0.108	0.042	0.000	0.000	0.000	0.000	0.000	0.000	0.062	0.000	0.280	1.000	1.000	1.000	1.000	1.000	0.000	1.000	0.296	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.145	0.000	0.022	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.143	0.000	1.000	1.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.100	0.207	0.180	0.000	0.000	0.000	1.000	0.000
AWTP-19 - Max Price - Residential - Others	1.000	1.000	1.000	0.000	0.219	1.000	0.000	0.387	0.000	0.387	0.000	0.000	0.000	1.000	0.000	0.837	0.000	0.000	0.837	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.000	1.000	0.466	0.000	0.387	1.000	1.000	0.000	1.000	1.000	0.837	0.000	0.837	1.000	0.000	1.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	0.000	0.366	1.000	1.000	1.000	0.000	0.444	0.444	0.000	1.000	1.000	0.837	0.000	0.000	0.000	1.000	0.000	0.000	0.000	1.000	1.000	0.000	1.000	1.000	0.000	1.000	NaN	0.000	0.577	0.541	1.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	1.000	1.000	1.000	0.000	1.000	1.000	0.000	1.000	0.367	0.377	0.408	0.000	0.000	0.000	1.000	0.000
AWTP-20 - Budget - 3000 - 6000	0.080	0.000	0.131	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.038	0.000	0.000	0.000	0.056	0.000	0.000	0.000	1.000	1.000	1.000	1.000	1.000	0.000	0.000	0.301	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.026	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.047	0.066	0.000	0.061	0.000	0.000	0.195	0.000	0.000	0.000	0.000	0.048	0.000	0.000	0.450	0.000	0.014	0.153	0.157	0.000	0.000	0.000	0.249	0.086	0.591	0.035	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.000	0.103	0.076	0.000	0.000	1.000	0.000	0.000	0.197	0.023
AWTP-20 - Budget - 6000 - 9000	0.000	0.000	0.000	0.045	0.049	0.000	0.000	0.000	0.000	0.027	0.000	0.000	0.000	0.000	0.043	0.000	0.000	0.000	0.038	1.000	1.000	1.000	1.000	0.000	1.000	0.000	0.206	1.000	0.054	0.000	0.000	0.049	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.075	0.000	0.000	0.050	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.068	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.370	0.057	0.000	0.000	0.000	0.068	0.000	0.000	0.000	0.000	0.229	0.591	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.058	0.484	0.089	0.000	1.000	0.000	0.000	0.361	0.438
AWTP-20 - Budget - 9000 - 15000	0.000	0.000	0.000	0.095	0.044	0.000	0.081	0.049	0.000	0.034	0.000	0.000	0.000	0.000	0.026	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	1.000	0.179	1.000	0.069	0.000	0.000	0.000	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.042	0.000	0.064	0.000	0.028	0.064	0.000	0.000	0.000	0.000	0.059	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.132	0.000	0.000	0.000	0.000	0.000	0.000	0.259	0.288	0.572	0.063	0.288	0.084	0.000	0.000	0.398	0.000	0.000	0.929	0.035	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.043	0.000	0.000	0.000	1.000	0.167	0.000	0.315	0.000
AWTP-20 - Budget - < 3000	0.000	0.137	0.000	0.036	0.044	0.000	0.094	0.168	0.035	0.028	0.000	0.116	0.060	0.068	0.000	0.000	0.000	0.101	0.000	0.000	0.291	0.000	0.000	0.301	0.206	0.179	1.000	0.383	0.362	0.022	0.224	0.076	0.000	0.000	0.000	0.000	0.000	0.125	0.060	0.000	0.058	0.024	0.017	0.000	0.000	0.000	0.000	0.064	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.032	0.171	0.000	0.000	0.000	0.000	0.000	0.000	0.053	0.000	0.000	0.185	0.000	0.179	0.153	0.000	0.054	0.093	0.186	0.019	0.024	0.000	0.000	0.168	0.176	0.329	0.000	0.136	0.000	0.327	0.000	0.091	0.150	0.000	0.084	0.338	0.039	0.075	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.102	0.308	0.227	0.354	0.000	0.000	0.000	0.216	0.166
AWTP-20 - Budget - Others	0.350	0.378	0.000	0.442	0.528	1.000	0.434	0.135	0.070	0.070	0.000	0.000	0.364	0.000	0.475	0.180	1.000	0.000	0.137	0.620	0.000	1.000	1.000	1.000	1.000	1.000	0.383	1.000	0.488	0.232	0.274	0.000	1.000	0.398	1.000	1.000	0.000	0.140	0.000	0.804	1.000	0.000	0.804	0.804	0.321	1.000	0.148	0.000	1.000	1.000	1.000	1.000	1.000	1.000	0.804	0.804	0.000	0.416	1.000	1.000	1.000	1.000	0.804	0.804	0.000	0.804	0.000	0.397	0.414	0.000	0.000	1.000	0.091	0.242	0.206	0.000	0.000	0.478	0.804	0.000	1.000	0.297	1.000	0.217	0.323	0.260	0.000	0.000	0.804	0.000	0.804	0.500	0.000	0.000	0.000	1.000	1.000	0.127	1.000	1.000	0.000	0.645	0.536	0.410	0.227	0.000	0.000	0.000	0.553	0.532
Barangay	0.143	0.566	0.242	0.466	0.468	0.081	0.298	0.346	0.285	0.286	0.274	0.323	0.333	0.176	0.361	0.447	0.753	0.424	0.290	0.349	0.509	0.296	0.466	0.000	0.054	0.069	0.362	0.488	1.000	0.480	0.376	0.311	0.095	0.381	0.000	0.190	0.351	0.355	0.245	0.000	0.282	0.076	0.351	0.357	0.159	0.046	0.522	0.482	0.000	0.000	0.000	0.000	0.000	0.094	0.258	0.000	0.217	0.324	0.205	0.000	0.000	0.000	0.426	0.321	0.109	0.057	0.020	0.551	0.542	0.336	0.262	0.000	0.205	0.385	0.318	0.264	0.073	0.205	0.234	0.414	0.147	0.000	0.000	0.265	0.287	0.420	0.035	0.250	0.054	0.147	0.000	0.671	0.477	0.402	0.252	0.043	0.246	0.199	0.180	0.000	0.208	0.810	0.818	0.514	0.774	0.079	0.135	0.140	0.449	0.272
CWSU-1 - Usage - Cleaning & Sanitation	0.000	0.052	0.040	0.193	0.206	0.000	0.161	0.193	0.000	0.095	0.000	0.159	0.022	0.035	0.083	0.098	0.047	0.103	0.093	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.232	0.480	1.000	0.043	0.106	0.062	0.042	0.025	0.000	0.063	0.065	0.035	0.000	0.000	0.108	0.047	0.075	0.102	0.000	0.102	0.159	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.039	0.000	0.096	0.000	0.000	0.000	0.000	0.083	0.069	0.000	0.031	0.000	0.000	0.000	0.059	0.173	0.000	0.088	0.038	0.161	0.032	0.000	0.000	0.000	0.234	0.000	0.000	0.261	0.162	0.000	0.052	0.000	0.042	0.035	0.000	0.000	0.032	0.000	0.063	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.505	0.217	0.548	0.000	0.000	0.000	0.000	0.250
CWSU-1 - Usage - Drinking	0.000	0.000	0.000	0.073	0.097	0.000	0.119	0.138	0.105	0.000	0.000	0.078	0.120	0.000	0.000	0.072	0.038	0.039	0.090	0.000	0.074	0.000	0.387	0.000	0.000	0.000	0.224	0.274	0.376	0.043	1.000	0.397	0.000	0.112	0.000	0.000	0.064	0.000	0.045	0.043	0.045	0.000	0.038	0.048	0.000	0.000	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.044	0.000	0.041	0.000	0.077	0.029	0.000	0.000	0.077	0.000	0.043	0.058	0.237	0.101	0.000	0.000	0.027	0.108	0.138	0.085	0.000	0.038	0.213	0.120	0.380	0.292	0.000	0.064	0.065	0.000	0.000	0.000	0.000	0.070	0.000	0.000	0.063	0.000	0.043	0.000	0.000	0.000	0.000	0.011	0.174	0.361	0.199	0.311	0.000	0.000	0.145	0.230	0.370
CWSU-1 - Usage - Food preparation	0.014	0.000	0.000	0.139	0.143	0.000	0.107	0.225	0.000	0.053	0.000	0.128	0.000	0.000	0.000	0.022	0.121	0.107	0.000	0.000	0.000	0.000	1.000	0.000	0.049	0.000	0.076	0.000	0.311	0.106	0.397	1.000	0.059	0.128	0.000	0.000	0.064	0.082	0.000	0.000	0.000	0.065	0.099	0.086	0.092	0.000	0.000	0.024	0.000	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.152	0.000	0.000	0.000	0.000	0.043	0.000	0.039	0.000	0.000	0.067	0.115	0.189	0.214	0.000	0.000	0.000	0.138	0.116	0.072	0.054	0.026	0.170	0.000	0.214	0.000	0.143	0.099	0.000	0.037	0.000	0.037	0.000	0.055	0.437	0.000	0.111	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.242	0.256	0.205	0.252	0.069	0.082	0.191	0.414	0.560
CWSU-1 - Usage - Landscaping/Irrigation	0.000	0.000	0.034	0.000	0.060	0.000	0.052	0.000	0.000	0.000	0.000	0.079	0.000	0.000	0.000	0.000	0.053	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.081	0.000	1.000	0.095	0.062	0.000	0.059	1.000	0.189	0.018	0.000	0.000	0.000	0.000	0.131	0.000	0.000	0.053	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.067	0.000	0.103	0.000	0.000	0.039	0.000	0.030	0.000	0.096	0.000	0.203	0.402	0.048	0.397	0.000	0.000	0.025	0.039	0.000	0.062	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.029	0.331	0.046	0.155	0.000	0.000	0.000	0.371	0.417
CWSU-1 - Usage - Manufacturing/Production	0.000	0.030	0.000	0.022	0.111	0.000	0.048	0.000	0.040	0.015	0.000	0.040	0.000	0.000	0.000	0.061	0.167	0.000	0.047	0.000	0.126	0.000	0.000	0.000	0.000	0.000	0.000	0.398	0.381	0.042	0.112	0.128	0.189	1.000	0.000	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.070	0.118	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.030	0.000	0.000	0.000	0.000	0.000	0.138	0.079	0.000	0.000	0.000	0.065	0.000	0.068	0.000	0.000	0.000	0.082	0.000	0.000	0.000	0.000	0.081	0.271	0.000	0.000	0.000	0.106	0.077	0.143	0.000	0.023	0.000	0.046	0.000	0.000	0.072	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.047	0.122	0.449	0.211	0.309	0.167	0.000	0.000	0.190	0.094
CWSU-1 - Usage - Others	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.025	0.000	0.000	0.018	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.052	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.268	0.000
CWSU-10 - Issues (Deep Well) - Costs	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.190	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.000	0.044	0.000	0.243	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.000	0.000	0.059	0.000	0.000	0.000	0.186	0.000	0.988	1.000	1.000	0.682	0.983	0.000	0.000	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.076	0.000	1.000	0.000	0.000	0.000	0.641
CWSU-10 - Issues (Deep Well) - N/A	0.000	0.000	0.000	0.000	0.086	0.036	0.073	0.053	0.000	0.000	0.000	0.030	0.000	0.000	0.000	0.065	0.000	0.000	0.000	0.000	0.000	0.000	0.837	0.000	0.000	0.000	0.000	0.000	0.351	0.063	0.064	0.064	0.000	0.034	0.000	0.000	1.000	0.460	0.000	0.000	0.022	0.073	0.060	0.036	0.166	0.120	0.167	0.172	0.122	0.000	0.000	0.000	0.000	0.106	0.160	0.019	0.185	0.071	0.120	0.000	0.000	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.323	0.064	0.114	0.221	0.000	0.116	0.047	0.000	0.054	0.000	0.084	0.000	0.552	0.128	0.078	0.000	0.000	0.000	0.058	0.000	0.000	0.478	0.160	0.037	0.000	0.000	0.048	0.000	0.000	0.020	0.000	0.000	0.324	0.116	0.345	0.000	0.000	0.124	0.045	0.118
CWSU-10 - Issues (Deep Well) - No	0.000	0.118	0.000	0.000	0.000	0.000	0.000	0.000	0.072	0.000	0.094	0.000	0.000	0.000	0.105	0.000	0.019	0.000	0.000	0.000	0.126	0.000	0.000	0.000	0.000	0.000	0.125	0.140	0.355	0.065	0.000	0.082	0.000	0.000	0.000	0.000	0.460	1.000	0.152	0.159	0.260	0.346	0.254	0.207	0.536	0.116	0.167	0.336	0.071	0.071	0.049	0.078	0.000	0.000	0.152	0.000	0.132	0.324	0.078	0.000	0.049	0.072	0.063	0.165	0.103	0.072	0.121	0.315	0.059	0.000	0.370	0.033	0.051	0.203	0.043	0.086	0.031	0.000	0.074	0.090	0.000	0.101	0.168	0.234	0.131	0.105	0.000	0.000	0.050	0.000	0.063	0.193	0.025	0.345	0.000	0.100	0.170	0.119	0.066	0.089	0.210	0.000	0.347	0.155	0.270	0.118	0.000	0.000	0.155	0.176
CWSU-10 - Issues (Deep Well) - Others	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.081	0.000	0.000	0.035	0.095	0.000	0.000	0.837	0.000	0.000	0.000	0.060	0.000	0.245	0.035	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.152	1.000	0.000	0.134	0.079	0.000	0.000	0.260	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.089	0.051	0.000	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.098	0.060	0.000	0.036	0.000	0.000	0.040	0.000	0.046	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.922	0.241	0.134	0.000	0.000	0.000	0.000	0.000	0.000	0.719	0.000	0.061	0.146	0.000	0.000	0.000	0.000	0.000	0.028	0.062	0.182	0.179	0.072	0.000	0.000	0.000	0.000	0.058
CWSU-10 - Issues (Deep Well) - Salinity	0.000	0.000	0.000	0.011	0.000	0.000	0.074	0.029	0.092	0.110	0.038	0.059	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.804	0.000	0.000	0.043	0.000	0.131	0.000	0.000	0.088	0.000	0.159	0.000	1.000	0.114	0.121	0.250	0.072	0.271	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.218	0.034	0.118	0.000	0.088	0.000	0.000	0.000	0.173	0.087	0.000	0.000	0.053	0.000	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.102	0.000	0.412	0.000	0.762	0.248	0.419	0.000	0.000	0.000	0.051	0.000	0.000	0.000	0.000	0.106	0.000	0.205	0.067	0.128	0.094	0.029	0.123	0.000	0.306	0.145	0.304	0.000	0.000	0.000	0.073	0.715
CWSU-10 - Issues (Deep Well) - Smell	0.000	0.043	0.000	0.051	0.000	0.000	0.000	0.040	0.047	0.000	0.000	0.000	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.058	1.000	0.282	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.022	0.260	0.134	0.114	1.000	0.106	0.267	0.127	0.465	0.000	0.108	0.062	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.042	0.000	0.000	0.000	0.057	0.059	0.019	0.174	0.000	0.108	0.164	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.036	0.117	0.336	0.572	0.099	0.155	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.124	0.000	0.000	0.372	0.000	0.158	0.106	0.118	0.125	0.276	0.204	0.180	0.000	0.000	0.000	0.210	0.000
CWSU-10 - Issues (Deep Well) - Supply interruption	0.000	0.000	0.000	0.000	0.061	0.000	0.106	0.116	0.040	0.081	0.052	0.054	0.000	0.000	0.075	0.000	0.000	0.098	0.000	0.068	0.075	0.000	1.000	0.000	0.075	0.000	0.024	0.000	0.076	0.108	0.000	0.065	0.000	0.000	0.000	0.000	0.073	0.346	0.079	0.121	0.106	1.000	0.112	0.072	0.587	0.000	0.043	0.036	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.145	0.000	0.000	0.134	0.086	0.000	0.108	0.055	0.000	0.128	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.161	0.000	0.000	0.274	0.210	0.000	0.015	0.000	0.000	0.000	0.013	0.183	0.000	0.000	0.170	0.000	0.224	0.000	0.237	0.000	0.000	0.256	0.000	0.287	0.000	0.000	0.000	0.201	0.095	0.116	0.000
CWSU-10 - Issues (Deep Well) - Taste	0.000	0.000	0.000	0.120	0.078	0.000	0.117	0.032	0.000	0.000	0.000	0.000	0.000	0.000	0.014	0.000	0.140	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.804	0.351	0.047	0.038	0.099	0.053	0.070	0.000	0.000	0.060	0.254	0.000	0.250	0.267	0.112	1.000	0.498	0.454	0.000	0.028	0.076	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.270	0.183	0.000	0.060	0.000	0.157	0.000	0.047	0.047	0.000	0.000	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.086	0.000	0.000	0.051	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.158	0.000	0.043	0.280	0.018	0.283	0.110	0.126	0.134	0.490	0.184	0.406	0.000	0.000	0.000	0.090	0.000
CWSU-10 - Issues (Deep Well) - Turbidity	0.000	0.000	0.000	0.114	0.130	0.000	0.119	0.000	0.000	0.000	0.029	0.059	0.113	0.000	0.000	0.000	0.185	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.804	0.357	0.075	0.048	0.086	0.000	0.118	0.000	0.000	0.036	0.207	0.000	0.072	0.127	0.072	0.498	1.000	0.395	0.000	0.000	0.070	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.218	0.117	0.000	0.000	0.092	0.121	0.000	0.100	0.083	0.000	0.079	0.000	0.083	0.000	0.000	0.000	0.000	0.071	0.147	0.164	1.000	0.000	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.031	0.119	0.000	0.000	0.103	0.000	0.136	0.000	0.000	0.050	0.672	0.073	0.364	0.000	0.268	0.000	0.243	0.132
CWSU-10 - Issues (Deep Well) - Yes	0.000	0.043	0.000	0.000	0.103	0.000	0.118	0.098	0.000	0.033	0.046	0.057	0.000	0.000	0.084	0.000	0.038	0.060	0.000	0.035	0.144	0.000	0.000	0.000	0.050	0.000	0.000	0.321	0.159	0.102	0.000	0.092	0.000	0.000	0.000	0.000	0.166	0.536	0.260	0.271	0.465	0.587	0.454	0.395	1.000	0.000	0.144	0.132	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.073	0.167	0.000	0.000	0.000	0.109	0.138	0.197	0.139	0.109	0.129	0.215	0.000	0.034	0.094	0.000	0.054	0.000	0.004	0.055	0.000	0.000	0.000	0.000	0.000	0.049	0.217	0.131	0.000	0.000	0.000	0.000	0.000	0.000	0.043	0.000	0.065	0.275	0.000	0.083	0.206	0.164	0.099	0.000	0.245	0.102	0.316	0.133	0.109	0.000	0.103	0.000	0.127	0.073
CWSU-11 - Issues (Truck Water) - Costs	0.053	0.000	0.000	0.042	0.000	0.000	0.000	0.000	0.044	0.061	0.000	0.000	0.000	0.000	0.000	0.102	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.028	0.000	1.000	0.046	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.120	0.116	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.033	0.072	0.000	0.465	0.091	0.037	0.273	0.119	0.440	0.000	0.000	0.000	0.037	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.000	0.014	0.000	0.110	0.000	0.000	0.240	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.074	0.000	0.011	0.088	0.000	0.000	0.929	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.058	0.000	0.000	0.000	0.023	0.000	0.219	0.000	0.000	0.000	0.000
CWSU-11 - Issues (Truck Water) - N/A	0.079	0.000	0.064	0.084	0.045	0.000	0.102	0.034	0.045	0.033	0.000	0.005	0.000	0.123	0.069	0.000	0.000	0.099	0.000	0.000	0.111	0.000	1.000	0.000	0.000	0.000	0.000	0.148	0.522	0.102	0.000	0.000	0.000	0.000	0.000	0.000	0.167	0.167	0.000	0.000	0.108	0.043	0.028	0.000	0.144	0.033	1.000	0.765	0.000	0.000	0.000	0.033	0.037	0.000	0.172	0.000	0.227	0.152	0.000	0.000	0.000	0.000	0.000	0.000	0.027	0.000	0.000	0.024	0.083	0.082	0.044	0.000	0.045	0.145	0.000	0.040	0.083	0.000	0.000	0.053	0.000	0.108	0.121	0.206	0.145	0.097	0.082	0.073	0.000	0.000	0.000	0.238	0.361	0.266	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.165	0.525	0.127	0.504	0.000	0.000	0.139	0.237	0.053
CWSU-11 - Issues (Truck Water) - No	0.000	0.073	0.000	0.081	0.039	0.025	0.059	0.000	0.000	0.024	0.075	0.000	0.020	0.061	0.155	0.000	0.098	0.046	0.000	0.000	0.000	0.000	1.000	0.026	0.000	0.042	0.064	0.000	0.482	0.159	0.024	0.024	0.000	0.000	0.000	0.000	0.172	0.336	0.000	0.000	0.062	0.036	0.076	0.070	0.132	0.072	0.765	1.000	0.031	0.031	0.000	0.024	0.031	0.000	0.164	0.000	0.173	0.259	0.000	0.000	0.000	0.000	0.030	0.036	0.000	0.000	0.000	0.108	0.000	0.046	0.050	0.000	0.014	0.022	0.044	0.000	0.025	0.000	0.000	0.117	0.000	0.000	0.000	0.176	0.204	0.000	0.025	0.050	0.033	0.000	0.000	0.181	0.263	0.412	0.000	0.000	0.000	0.000	0.000	0.048	0.046	0.028	0.508	0.000	0.505	0.000	0.000	0.180	0.193	0.088
CWSU-11 - Issues (Truck Water) - Others	0.100	0.034	0.000	0.000	0.000	0.000	0.030	0.000	0.045	0.058	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.122	0.071	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.031	1.000	0.000	0.000	0.072	0.000	0.166	0.257	0.000	0.000	0.046	0.072	0.000	0.000	0.057	0.000	0.000	0.103	0.000	0.000	0.062	0.000	0.000	0.037	0.000	0.000	0.054	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.064	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.517	0.000	0.000	0.000	0.000	0.000	0.000	0.000
CWSU-11 - Issues (Truck Water) - Salinity	0.000	0.000	0.000	0.000	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.033	0.000	0.000	0.029	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.064	0.000	1.000	0.000	0.000	0.000	0.033	0.000	0.000	0.000	0.000	0.000	0.071	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.465	0.000	0.031	0.000	1.000	0.131	0.072	0.368	0.166	0.257	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.096	0.000	0.000	0.132	0.000	0.000	0.033	0.000	0.000	0.033	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.138	0.000	0.000	1.000	0.000	0.031	0.000	0.044	0.000	0.000	0.033	0.094	0.000	0.000	0.000	0.000	0.000	0.415	0.000	0.000	0.000	0.000
CWSU-11 - Issues (Truck Water) - Smell	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.137	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.091	0.000	0.000	0.000	0.131	1.000	0.000	0.427	0.195	0.304	0.000	0.000	0.079	0.000	0.000	0.000	0.000	0.027	0.110	0.000	0.075	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.114	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.062	0.188	0.080	0.052	0.380	0.051	0.000	0.000	0.000	0.000	0.415	0.000	0.000	0.000	0.000
CWSU-11 - Issues (Truck Water) - Supply interruption	0.000	0.000	0.102	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.028	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.078	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.037	0.033	0.024	0.072	0.072	0.000	1.000	0.000	0.000	0.354	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.055	0.000	0.000	0.000	0.000	0.000	0.069	0.000	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.119	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.050	0.000	1.000	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.033	0.000	0.000	0.000	1.000	0.288	0.170	0.106	0.000
CWSU-11 - Issues (Truck Water) - Taste	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.029	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.064	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.273	0.037	0.031	0.000	0.368	0.427	0.000	1.000	0.166	0.257	0.000	0.000	0.046	0.000	0.000	0.000	0.000	0.152	0.085	0.000	0.057	0.000	0.000	0.026	0.000	0.096	0.000	0.000	0.132	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.138	0.196	0.033	0.000	0.000	0.138	0.000	0.000	1.000	0.000	0.000	0.000	0.044	0.157	0.056	0.033	0.327	0.018	0.000	0.000	0.000	0.000	0.415	0.000	0.000	0.000	0.000
CWSU-11 - Issues (Truck Water) - Turbidity	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.094	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.106	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.119	0.000	0.000	0.166	0.166	0.195	0.000	0.166	1.000	0.219	0.000	0.000	0.044	0.119	0.000	0.000	0.101	0.000	0.148	0.014	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.000	0.114	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	0.000	0.192	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.088	0.057	0.000	0.077	0.146	0.000	0.049	0.960	0.108	0.000	0.241	1.000	1.000	0.000	1.000
CWSU-11 - Issues (Truck Water) - Yes	0.000	0.000	0.034	0.000	0.000	0.000	0.016	0.000	0.024	0.058	0.000	0.008	0.028	0.000	0.000	0.135	0.000	0.000	0.000	0.000	0.082	0.000	1.000	0.000	0.000	0.000	0.000	0.804	0.258	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.160	0.152	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.440	0.172	0.164	0.257	0.257	0.304	0.354	0.257	0.219	1.000	0.063	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.130	0.117	0.071	0.000	0.112	0.000	0.000	0.137	0.000	0.000	0.303	0.000	0.000	0.000	0.053	0.036	0.030	0.000	0.000	0.242	0.000	0.000	0.103	0.000	0.000	0.117	0.066	0.000	0.929	0.000	0.121	0.000	0.000	0.000	0.181	0.000	0.121	0.121	0.000	0.257	0.000	0.198	0.000	0.000	0.000	0.000	0.000
CWSU-12 - Issues (Bottled Water) - Costs	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.047	0.067	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.804	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.094	0.019	0.000	0.000	0.218	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.063	1.000	0.000	0.101	0.000	0.094	0.000	0.000	0.000	0.293	0.096	0.000	0.000	0.073	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.469	0.000	1.000	0.205	0.333	0.027	0.000	0.000	0.059	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.093	0.000	0.000	0.050	0.000	0.000	0.069	0.000	0.000	0.000	0.000	0.000	0.183
CWSU-12 - Issues (Bottled Water) - N/A	0.035	0.000	0.000	0.000	0.025	0.000	0.000	0.102	0.019	0.000	0.000	0.000	0.000	0.000	0.000	0.034	0.000	0.000	0.000	0.094	0.000	0.000	0.000	0.000	0.000	0.000	0.032	0.000	0.217	0.000	0.000	0.055	0.000	0.030	0.000	0.000	0.185	0.132	0.089	0.034	0.025	0.000	0.000	0.000	0.073	0.000	0.227	0.173	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.531	0.000	0.000	0.000	0.000	0.029	0.054	0.000	0.000	0.000	0.013	0.063	0.094	0.048	0.000	0.000	0.000	0.172	0.094	0.070	0.000	0.000	0.166	0.143	0.000	0.317	0.177	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.368	0.176	0.061	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.290	0.131	0.296	0.000	0.000	0.132	0.000	0.192
CWSU-12 - Issues (Bottled Water) - No	0.000	0.078	0.079	0.030	0.000	0.000	0.051	0.134	0.092	0.000	0.095	0.000	0.000	0.000	0.048	0.000	0.000	0.081	0.045	0.150	0.000	0.000	0.366	0.000	0.000	0.059	0.171	0.416	0.324	0.096	0.044	0.152	0.000	0.000	0.000	0.044	0.071	0.324	0.051	0.118	0.042	0.000	0.017	0.000	0.167	0.000	0.152	0.259	0.046	0.000	0.079	0.000	0.046	0.044	0.020	0.101	0.531	1.000	0.078	0.044	0.079	0.186	0.290	0.449	0.000	0.040	0.000	0.333	0.157	0.117	0.187	0.000	0.005	0.000	0.238	0.000	0.000	0.050	0.065	0.206	0.192	0.000	0.000	0.153	0.160	0.105	0.000	0.000	0.044	0.000	0.000	0.195	0.000	0.268	0.000	0.000	0.000	0.067	0.000	0.076	0.051	0.000	0.321	0.119	0.298	0.181	0.000	0.028	0.124	0.293
CWSU-12 - Issues (Bottled Water) - Others	0.053	0.028	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.026	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.085	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.205	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.120	0.078	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.000	0.072	0.000	0.000	0.000	0.000	0.119	0.000	0.000	0.000	0.078	1.000	0.000	0.000	0.017	0.000	0.176	0.000	0.000	0.000	0.009	0.068	0.000	0.008	0.037	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.929	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.038	0.420	0.000	0.338	0.000	0.000	0.000	0.000	0.188
CWSU-12 - Issues (Bottled Water) - Salinity	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.040	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.041	0.000	0.000	0.000	0.000	0.243	0.000	0.000	0.000	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.000	0.044	0.000	1.000	0.000	0.101	0.000	0.148	0.000	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.029	0.000	0.772	1.000	1.000	0.470	0.685	0.000	0.000	0.000	0.045	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.116	0.000	0.000	0.086	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.399
CWSU-12 - Issues (Bottled Water) - Smell	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.068	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.039	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.079	0.000	0.000	1.000	0.075	0.320	0.208	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.213	0.000	1.000	0.000	0.000	0.000	0.687
CWSU-12 - Issues (Bottled Water) - Supply interruption	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.077	0.000	0.000	0.000	0.000	0.000	0.000	0.072	0.000	0.000	0.057	0.145	0.000	0.000	0.109	0.000	0.000	0.000	0.057	0.000	0.000	0.017	0.000	0.101	0.000	0.000	0.000	0.186	0.017	0.101	0.075	1.000	0.079	0.313	0.032	0.000	0.075	0.000	0.049	0.000	0.071	0.000	0.000	0.000	0.040	0.000	0.000	0.000	0.000	0.000	0.167	1.000	0.000	0.000	0.000	0.000	0.000	0.044	0.000	0.025	0.000	1.000	0.000	0.055	0.000	0.000	0.000	0.202	0.000	0.000	0.192	0.000	0.257	0.135	0.000	0.317	0.106	0.000	0.000	0.000
CWSU-12 - Issues (Bottled Water) - Taste	0.000	0.065	0.000	0.082	0.082	0.000	0.060	0.023	0.000	0.000	0.000	0.038	0.000	0.000	0.057	0.000	0.170	0.000	0.000	0.000	0.000	0.000	0.444	0.000	0.000	0.000	0.000	0.804	0.426	0.083	0.029	0.043	0.000	0.138	0.000	0.000	0.044	0.063	0.000	0.000	0.059	0.000	0.270	0.218	0.138	0.000	0.000	0.030	0.000	0.000	0.027	0.000	0.152	0.000	0.000	0.000	0.029	0.290	0.000	0.000	0.320	0.079	1.000	0.568	0.000	0.000	0.000	0.069	0.053	0.094	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.064	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.086	0.000	0.000	0.092	0.000	0.124	0.000	0.000	0.024	0.479	0.165	0.403	0.163	0.221	0.000	0.000	0.333
CWSU-12 - Issues (Bottled Water) - Yes	0.000	0.098	0.000	0.000	0.040	0.000	0.000	0.000	0.006	0.018	0.052	0.093	0.038	0.000	0.029	0.041	0.112	0.000	0.000	0.000	0.000	0.000	0.444	0.000	0.000	0.000	0.000	0.804	0.321	0.069	0.000	0.000	0.000	0.079	0.000	0.000	0.000	0.165	0.000	0.173	0.019	0.000	0.183	0.117	0.197	0.036	0.000	0.036	0.000	0.000	0.110	0.000	0.085	0.148	0.130	0.293	0.054	0.449	0.176	0.148	0.208	0.313	0.568	1.000	0.000	0.086	0.053	0.154	0.081	0.122	0.000	0.000	0.000	0.036	0.063	0.000	0.000	0.000	0.000	0.000	0.228	0.000	0.000	0.018	0.136	0.062	0.048	0.062	0.000	0.000	0.000	0.000	0.000	0.139	0.000	0.000	0.065	0.144	0.048	0.066	0.116	0.087	0.377	0.170	0.357	0.226	0.122	0.000	0.000	0.391
CWSU-13 - Interruptions (days) - Once a week	0.000	0.000	0.000	0.085	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.042	0.000	0.000	0.000	0.072	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.053	0.000	0.109	0.000	0.000	0.039	0.000	0.000	0.000	0.000	0.000	0.103	0.000	0.087	0.174	0.134	0.000	0.000	0.139	0.000	0.027	0.000	0.103	0.000	0.000	0.055	0.000	0.014	0.117	0.096	0.000	0.000	0.000	0.000	0.000	0.032	0.000	0.000	1.000	0.000	0.000	0.281	0.022	0.085	0.091	0.000	0.121	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.203	0.014	0.169	0.000	0.000	0.000	0.000	0.063	0.000	0.000	0.000	0.000	0.080	0.096	0.000	0.146	0.035	0.337	0.000	0.000	0.314	0.020	0.132	0.122	0.171	0.126	0.135	0.000	0.000	0.000
CWSU-13 - Interruptions (days) - Thrice a week	0.000	0.058	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.014	0.000	1.000	0.000	0.000	0.000	0.000	0.804	0.057	0.031	0.077	0.000	0.000	0.000	0.000	0.000	0.000	0.072	0.000	0.000	0.000	0.086	0.060	0.000	0.109	0.000	0.000	0.000	0.000	0.000	0.075	0.000	0.057	0.000	0.071	0.000	0.000	0.040	0.000	0.000	0.000	0.000	0.000	0.086	0.000	1.000	0.000	0.126	0.000	0.000	0.000	0.017	0.112	0.000	0.000	0.000	0.111	0.000	0.000	0.103	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.068	0.000	0.079	0.000	0.000	0.055	0.000	0.000	0.000	0.154	0.000	0.043	0.109	0.000	0.000	0.127	0.195	0.000	0.000	0.000	0.000	0.193
CWSU-13 - Interruptions (days) - Twice a week	0.162	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.067	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.121	0.098	0.000	0.108	0.000	0.000	0.092	0.129	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.075	0.000	0.053	0.000	0.000	1.000	0.210	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.084	0.000	0.345	0.000	0.268	0.219	0.000	0.000	0.104	0.000	0.000	0.000	0.587	0.042	0.000	0.000	0.000	0.087	0.000	0.119	0.000	0.129	0.000	0.000	0.195	0.213	0.000	0.000	0.000	0.000	0.000
CWSU-13 - Interruptions (days) - We have continuous water supply everyday	0.000	0.118	0.101	0.032	0.000	0.016	0.000	0.083	0.000	0.000	0.000	0.061	0.000	0.000	0.054	0.000	0.157	0.056	0.000	0.000	0.209	0.000	0.837	0.047	0.000	0.000	0.185	0.397	0.551	0.000	0.043	0.067	0.000	0.065	0.000	0.000	0.000	0.315	0.060	0.053	0.164	0.108	0.157	0.121	0.215	0.000	0.024	0.108	0.062	0.000	0.039	0.000	0.000	0.000	0.112	0.073	0.013	0.333	0.009	0.000	0.000	0.000	0.069	0.154	0.281	0.126	0.210	1.000	0.138	0.000	0.137	0.000	0.025	0.029	0.102	0.000	0.000	0.000	0.000	0.199	0.063	0.178	0.135	0.224	0.250	0.241	0.000	0.000	0.000	0.000	0.000	0.174	0.063	0.268	0.022	0.116	0.107	0.127	0.049	0.079	0.182	0.000	0.540	0.256	0.546	0.000	0.000	0.000	0.233	0.114
CWSU-2 - Treatment	0.031	0.000	0.000	0.000	0.050	0.000	0.000	0.000	0.157	0.068	0.094	0.000	0.060	0.078	0.071	0.111	0.090	0.196	0.000	0.000	0.000	0.145	0.000	0.066	0.000	0.000	0.000	0.414	0.542	0.000	0.058	0.115	0.067	0.000	0.000	0.000	0.000	0.059	0.000	0.000	0.000	0.055	0.000	0.000	0.000	0.014	0.083	0.000	0.000	0.000	0.000	0.000	0.026	0.000	0.000	0.000	0.063	0.157	0.068	0.000	0.000	0.049	0.053	0.081	0.022	0.000	0.000	0.138	1.000	0.078	0.143	0.000	0.071	0.042	0.000	0.220	0.000	0.106	0.000	0.257	0.108	0.000	0.000	0.155	0.034	0.075	0.000	0.071	0.078	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.068	0.034	0.044	0.016	0.105	0.466	0.218	0.496	0.186	0.187	0.179	0.262	0.133
CWSU-3 - Current Sources - Bottled water (5 gallons)	0.000	0.028	0.031	0.046	0.093	0.000	0.108	0.024	0.062	0.000	0.056	0.151	0.017	0.050	0.086	0.000	0.092	0.081	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.179	0.000	0.336	0.059	0.237	0.189	0.000	0.068	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.047	0.100	0.034	0.000	0.082	0.046	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.117	0.000	0.000	0.000	0.000	0.094	0.122	0.085	0.000	0.000	0.000	0.078	1.000	0.000	0.000	0.070	0.000	0.353	0.046	0.000	0.000	0.000	0.080	0.000	0.125	0.125	0.032	0.113	0.058	0.060	0.130	0.000	0.000	0.072	0.055	0.049	0.017	0.000	0.000	0.000	0.018	0.000	0.000	0.000	0.000	0.227	0.022	0.350	0.000	0.038	0.092	0.143	0.158
CWSU-3 - Current Sources - Deep Well (owned)	0.000	0.000	0.000	0.058	0.045	0.000	0.136	0.115	0.057	0.000	0.000	0.000	0.000	0.000	0.093	0.000	0.000	0.033	0.000	0.000	0.000	0.022	0.000	0.061	0.000	0.000	0.153	0.000	0.262	0.173	0.101	0.214	0.103	0.000	0.000	0.037	0.323	0.370	0.000	0.039	0.000	0.128	0.047	0.083	0.094	0.110	0.044	0.050	0.037	0.096	0.000	0.069	0.096	0.037	0.137	0.000	0.048	0.187	0.008	0.037	0.000	0.071	0.000	0.000	0.091	0.000	0.000	0.137	0.143	0.000	1.000	0.110	0.299	0.315	0.131	0.202	0.000	0.000	0.152	0.170	0.089	0.322	0.005	0.254	0.161	0.176	0.007	0.059	0.104	0.000	0.000	0.525	0.117	0.000	0.000	0.000	0.000	0.118	0.000	0.068	0.114	0.172	0.185	0.138	0.258	0.141	0.086	0.115	0.264	0.224
CWSU-3 - Current Sources - Others	0.000	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.008	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.064	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.037	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.110	1.000	0.000	0.000	0.000	0.000	0.352	0.000	0.000	0.000	0.000	1.000	1.000	0.251	0.257	0.000	0.000	0.000	0.000	0.000	0.000	0.929	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.039	0.033	0.000	0.000	0.296	1.000	0.000	0.000	0.063	0.000
CWSU-3 - Current Sources - Tap Water (Water District etc.)	0.000	0.031	0.106	0.022	0.000	0.000	0.000	0.064	0.043	0.000	0.000	0.000	0.000	0.000	0.011	0.000	0.014	0.037	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.054	0.091	0.205	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.114	0.051	0.040	0.000	0.000	0.000	0.000	0.079	0.054	0.000	0.045	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.005	0.000	0.000	0.000	0.000	0.000	0.000	0.121	0.112	0.000	0.025	0.071	0.070	0.299	0.000	1.000	0.023	0.037	0.063	0.000	0.339	0.000	0.116	0.000	0.000	0.000	0.000	0.100	0.036	0.010	0.206	0.031	0.000	0.000	0.051	0.250	0.165	0.000	0.000	0.000	0.226	0.000	0.045	0.213	0.121	0.000	0.167	0.183	0.000	0.183	0.138	0.149	0.000
CWSU-3 - Current Sources - Truck Delivery Services (5 m3)	0.150	0.000	0.000	0.040	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.000	0.000	0.109	0.000	0.008	0.000	0.000	0.000	0.000	0.000	0.195	0.000	0.132	0.093	0.242	0.385	0.038	0.027	0.000	0.039	0.082	0.000	0.000	0.221	0.203	0.000	0.000	0.000	0.000	0.052	0.000	0.000	0.240	0.145	0.022	0.054	0.132	0.000	0.075	0.132	0.114	0.303	0.000	0.000	0.000	0.075	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.029	0.042	0.000	0.315	0.000	0.023	1.000	0.000	0.105	0.000	0.000	0.376	0.159	0.110	0.000	0.588	0.098	0.120	0.174	0.000	0.000	0.241	0.032	0.162	0.865	0.000	0.141	0.000	0.021	0.000	0.047	0.000	0.000	0.071	0.000	0.239	0.104	0.349	0.219	0.154	0.000	0.203	0.266
CWSU-4 - Primary Drinking Source - Bottled water (5 gallons)	0.000	0.032	0.000	0.117	0.044	0.000	0.120	0.194	0.020	0.034	0.000	0.166	0.000	0.000	0.000	0.091	0.085	0.071	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.186	0.206	0.318	0.161	0.108	0.138	0.000	0.000	0.000	0.059	0.000	0.043	0.046	0.000	0.000	0.000	0.000	0.083	0.004	0.000	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.172	0.238	0.000	0.000	0.000	0.040	0.028	0.063	0.000	0.000	0.000	0.102	0.000	0.353	0.131	0.000	0.037	0.000	1.000	0.000	0.208	0.051	0.292	0.303	0.057	0.000	0.248	0.166	0.152	0.110	0.000	0.043	0.015	0.000	0.000	0.000	0.045	0.068	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.159	0.300	0.235	0.229	0.127	0.000	0.000	0.198	0.266
CWSU-4 - Primary Drinking Source - Deep Well (owned)	0.000	0.000	0.000	0.081	0.189	0.000	0.145	0.060	0.097	0.063	0.029	0.000	0.000	0.020	0.000	0.039	0.000	0.084	0.062	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.019	0.000	0.264	0.032	0.138	0.116	0.030	0.000	0.000	0.000	0.116	0.086	0.000	0.000	0.000	0.020	0.000	0.000	0.055	0.000	0.040	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.220	0.046	0.202	0.000	0.063	0.105	0.000	1.000	0.000	0.115	0.031	0.129	0.080	0.000	0.000	0.233	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.087	0.034	0.000	0.000	0.000	0.031	0.000	0.000	0.000	0.000	0.185	0.153	0.219	0.180	0.084	0.000	0.066	0.123
CWSU-4 - Primary Drinking Source - Others	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.036	0.078	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.014	0.000	1.000	0.000	0.000	0.000	0.024	0.000	0.073	0.000	0.085	0.072	0.000	0.000	0.052	0.000	0.047	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.083	0.025	0.000	0.033	0.000	0.000	0.000	0.000	0.000	0.000	0.070	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.111	0.000	0.000	0.000	0.000	0.000	0.352	0.000	0.000	0.208	0.000	1.000	0.000	0.000	0.076	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.929	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
CWSU-4 - Primary Drinking Source - Tap Water (Water District etc.)	0.000	0.000	0.094	0.000	0.076	0.000	0.040	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.063	0.060	0.000	0.081	0.049	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.478	0.205	0.000	0.000	0.054	0.096	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.053	0.000	0.000	0.050	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.106	0.000	0.000	0.000	0.339	0.000	0.051	0.115	0.000	1.000	0.000	0.044	0.000	0.219	0.077	0.000	0.000	0.000	0.000	0.134	0.000	0.000	0.000	0.000	0.082	0.000	0.000	0.000	0.000	0.104	0.000	0.000	0.084	0.000	0.131	0.000	0.256	0.000	0.145	0.068	0.000	0.059
CWSU-4 - Primary Drinking Source - Truck Delivery Services (5 m3)	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.104	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.019	0.000	1.000	0.048	0.000	0.000	0.000	0.804	0.234	0.000	0.038	0.026	0.000	0.081	0.000	0.186	0.054	0.074	0.000	0.102	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.065	0.000	0.029	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.152	0.000	0.000	0.376	0.292	0.031	0.000	0.000	1.000	0.041	0.195	0.143	0.000	0.407	0.263	0.045	0.000	0.000	0.085	0.000	0.000	0.492	0.000	0.063	0.000	0.102	0.000	0.133	0.145	0.000	0.148	0.000	0.343	0.140	0.223	0.220	0.032	0.000	0.000	0.174
CWSU-4 - Primary Drinking Source - gals	0.000	0.226	0.113	0.176	0.179	0.024	0.176	0.226	0.113	0.093	0.000	0.158	0.130	0.000	0.153	0.018	0.208	0.149	0.041	0.250	0.093	0.143	1.000	0.000	0.000	0.000	0.168	0.000	0.414	0.234	0.213	0.170	0.203	0.271	0.000	0.000	0.000	0.090	0.000	0.000	0.036	0.161	0.000	0.071	0.000	0.000	0.053	0.117	0.000	0.033	0.000	0.119	0.000	0.000	0.030	0.000	0.166	0.206	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.103	0.084	0.199	0.257	0.080	0.170	0.000	0.116	0.159	0.303	0.129	0.076	0.044	0.041	1.000	-0.055	0.407	-0.059	0.097	0.055	0.268	0.000	0.152	0.173	0.118	0.130	0.645	0.135	0.143	0.000	0.117	0.000	0.151	0.091	0.000	0.100	0.444	0.340	0.200	0.305	-0.013	0.195	0.043	0.245	0.020
CWSU-5 - Ave Demand (in cbm)	0.000	0.089	0.000	0.000	0.000	0.000	0.049	0.000	0.076	0.087	0.000	0.000	0.091	0.000	0.058	0.297	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.370	0.259	0.176	1.000	0.147	0.000	0.120	0.000	0.402	0.000	0.000	0.988	0.084	0.000	0.000	0.412	0.117	0.000	0.000	0.147	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.469	0.143	0.192	0.000	0.772	0.000	0.167	0.000	0.228	0.203	0.000	0.000	0.063	0.108	0.000	0.089	0.000	0.000	0.110	0.057	0.080	0.000	0.000	0.195	-0.055	1.000	0.591	-0.418	0.372	0.407	0.000	0.000	0.080	0.441	0.000	0.088	1.000	0.060	0.000	0.000	0.000	0.000	0.182	0.000	0.000	0.132	1.000	0.323	0.000	0.000	NaN	0.132	0.000	0.304	0.355
CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)	0.000	0.000	0.000	0.000	0.042	0.057	0.000	0.000	0.163	0.158	0.228	0.105	0.000	0.000	0.000	0.000	0.284	0.000	0.000	1.000	1.000	1.000	1.000	0.450	0.057	0.288	0.329	0.297	0.000	0.000	0.380	0.214	0.048	0.000	0.000	1.000	0.000	0.101	0.000	0.000	0.336	0.000	0.086	0.164	0.049	0.000	0.108	0.000	1.000	0.000	1.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	0.000	0.000	0.014	0.000	0.345	0.178	0.000	0.125	0.322	1.000	0.000	0.000	0.000	0.000	0.000	0.219	0.143	0.407	0.591	1.000	0.273	0.000	0.000	0.278	0.000	0.142	0.413	0.000	0.367	1.000	0.155	0.099	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.188	0.000	0.000	0.000	0.298	0.101	0.000	0.344	0.360
CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)	0.570	0.000	0.000	0.121	0.000	1.000	0.000	0.317	0.005	0.005	0.017	0.000	0.156	1.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	NaN	0.000	0.000	0.572	0.000	1.000	0.000	0.261	0.292	0.000	0.397	0.000	1.000	1.000	0.552	0.168	0.922	0.762	0.572	0.274	0.000	1.000	0.217	1.000	0.121	0.000	1.000	1.000	1.000	1.000	1.000	1.000	0.242	1.000	0.317	0.000	1.000	1.000	1.000	0.000	1.000	0.000	0.169	0.000	0.000	0.135	0.000	0.125	0.005	1.000	0.000	0.588	0.248	0.000	1.000	0.077	0.000	-0.059	-0.418	0.273	1.000	0.000	0.049	0.193	1.000	0.000	0.312	0.000	0.000	NaN	1.000	0.273	1.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	NaN	0.000	0.499	0.331	0.000
CWSU-7 - Peak Month - End	0.291	0.161	0.233	0.196	0.185	0.000	0.161	0.117	0.092	0.072	0.150	0.116	0.071	0.000	0.204	0.160	0.000	0.000	0.089	0.101	0.000	0.000	0.000	0.014	0.000	0.063	0.136	0.217	0.265	0.162	0.000	0.143	0.000	0.106	0.000	0.682	0.128	0.234	0.241	0.248	0.099	0.210	0.000	0.000	0.131	0.000	0.206	0.176	0.000	0.000	1.000	0.000	0.138	0.000	0.000	0.205	0.177	0.153	0.000	0.470	0.000	0.000	0.000	0.018	0.000	0.000	0.268	0.224	0.155	0.032	0.254	0.251	0.000	0.098	0.166	0.233	0.000	0.000	0.407	0.097	0.372	0.000	0.000	1.000	0.459	0.100	0.000	0.000	0.236	0.118	0.000	0.357	0.000	0.000	0.188	0.179	0.086	0.000	0.000	0.153	0.000	0.152	0.182	0.070	0.273	0.000	0.000	0.000	0.125	0.133
CWSU-7 - Peak Month - Start	0.346	0.108	0.000	0.099	0.082	0.000	0.000	0.000	0.157	0.150	0.000	0.000	0.159	0.088	0.146	0.199	0.000	0.099	0.000	0.120	0.347	0.000	0.577	0.153	0.000	0.288	0.000	0.323	0.287	0.000	0.064	0.099	0.000	0.077	0.000	0.983	0.078	0.131	0.134	0.419	0.155	0.000	0.051	0.000	0.000	0.000	0.145	0.204	0.064	0.000	1.000	0.000	0.196	0.192	0.000	0.333	0.000	0.160	0.000	0.685	0.000	0.000	0.000	0.136	0.000	0.000	0.219	0.250	0.034	0.113	0.161	0.257	0.100	0.120	0.152	0.000	0.000	0.000	0.263	0.055	0.407	0.000	0.049	0.459	1.000	0.026	0.000	0.099	0.254	0.000	0.000	0.463	0.154	0.114	0.288	0.000	0.161	0.000	0.163	0.138	0.000	0.281	0.372	0.107	0.293	0.000	0.000	0.097	0.091	0.121
CWSU-8 - Monthly Costs - Less than PhP 1,000	0.050	0.000	0.033	0.000	0.029	0.057	0.065	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.101	0.034	0.053	0.122	0.040	0.000	0.541	0.157	0.068	0.084	0.327	0.260	0.420	0.052	0.065	0.000	0.025	0.143	0.000	0.000	0.000	0.105	0.000	0.000	0.052	0.015	0.000	0.045	0.000	0.074	0.097	0.000	0.000	0.000	0.000	0.000	0.033	0.000	0.103	0.027	0.000	0.105	0.000	0.000	0.000	0.000	0.064	0.062	0.000	0.000	0.000	0.241	0.075	0.058	0.176	0.000	0.036	0.174	0.110	0.000	0.000	0.000	0.045	0.268	0.000	0.278	0.193	0.100	0.026	1.000	0.000	0.422	0.172	0.227	0.157	0.288	0.114	0.018	0.000	0.000	0.039	0.022	0.000	0.000	0.000	0.248	0.395	0.244	0.352	0.163	0.120	0.097	0.290	0.000
CWSU-8 - Monthly Costs - Others:	0.000	0.015	0.000	0.000	0.000	0.111	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.034	1.000	1.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000	0.035	0.000	0.000	0.037	0.039	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.082	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.000	0.000	0.000	0.000	0.060	0.007	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.591	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.076	0.216	0.000	0.000	1.000	0.000	0.000	0.079	0.177
CWSU-8 - Monthly Costs - PhP 1,000 - PhP 3,000	0.000	0.098	0.000	0.037	0.000	0.000	0.000	0.059	0.000	0.027	0.000	0.000	0.000	0.114	0.000	0.043	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.091	0.000	0.250	0.042	0.000	0.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.073	0.050	0.000	0.000	0.114	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.036	0.044	0.000	0.062	0.063	0.000	0.104	0.000	0.071	0.130	0.059	0.000	0.206	0.000	0.043	0.000	0.000	0.134	0.000	0.152	0.080	0.142	0.000	0.000	0.099	0.422	0.000	1.000	0.085	0.120	0.075	0.418	0.057	0.000	0.000	0.000	0.022	0.091	0.038	0.116	0.083	0.099	0.169	0.195	0.156	0.224	0.182	0.139	0.223	0.000
CWSU-8 - Monthly Costs - PhP 10,000 and above	0.063	0.000	0.026	0.061	0.008	0.000	0.083	0.000	0.038	0.069	0.022	0.000	0.000	0.000	0.000	0.030	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.398	0.150	0.804	0.054	0.035	0.000	0.037	0.062	0.000	0.000	0.045	0.058	0.050	0.000	0.051	0.000	0.000	0.000	0.000	0.000	0.088	0.000	0.033	0.000	0.138	0.000	0.000	0.138	0.000	0.117	0.059	0.000	0.044	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.068	0.000	0.000	0.078	0.000	0.104	0.000	0.031	0.241	0.015	0.000	0.000	0.000	0.085	0.173	0.441	0.413	0.312	0.236	0.254	0.172	0.000	0.085	1.000	0.000	0.000	0.929	0.081	0.000	0.000	0.000	0.000	0.076	0.000	0.000	0.000	0.091	0.000	0.000	0.043	0.211	0.000	0.000	0.407	0.354
CWSU-8 - Monthly Costs - PhP 3,000 - PhP 5,000	0.000	0.000	0.080	0.000	0.073	0.000	0.000	0.025	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.047	0.000	0.000	0.000	0.000	0.046	0.000	1.000	0.249	0.000	0.000	0.000	0.000	0.147	0.000	0.000	0.000	0.000	0.046	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.050	0.000	0.000	0.066	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.025	0.000	0.000	0.000	0.000	0.032	0.000	0.000	0.000	0.000	0.000	0.118	0.000	0.000	0.000	0.118	0.000	0.227	0.000	0.120	0.000	1.000	0.000	1.000	0.066	0.037	0.000	0.000	0.000	0.000	0.064	0.000	0.000	0.081	0.222	0.054	0.000	0.000	0.000	0.000	0.263	0.113
CWSU-8 - Monthly Costs - PhP 5,000 - PhP 10,000	0.000	0.000	0.000	0.000	0.019	0.079	0.000	0.000	0.056	0.023	0.000	0.000	0.000	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.086	0.229	0.000	0.084	0.804	0.000	0.000	0.070	0.055	0.000	0.000	0.000	0.000	0.000	0.063	0.000	0.000	0.000	0.183	0.000	0.000	0.043	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.079	0.000	0.000	0.000	0.072	0.000	0.000	0.000	0.162	0.000	0.000	0.000	0.000	0.000	0.130	0.088	0.367	0.000	0.000	0.000	0.157	0.000	0.075	0.000	0.000	1.000	0.929	0.000	0.061	0.000	0.063	0.000	0.000	0.000	0.000	0.000	0.077	0.153	0.000	0.056	0.000	0.237	0.123	0.312	0.000
CWSU-8 - Monthly Costs - Truck Delivery	0.929	0.854	0.591	0.118	0.000	0.929	0.228	0.059	0.000	0.000	0.000	0.000	0.315	0.000	0.000	0.390	0.133	0.000	0.100	0.325	0.000	0.000	1.000	0.591	0.591	0.929	0.338	0.500	0.671	0.032	0.000	0.437	0.000	0.000	1.000	0.000	0.478	0.193	0.719	0.000	0.000	0.000	0.000	0.000	0.000	0.929	0.238	0.181	1.000	1.000	1.000	1.000	1.000	1.000	0.929	0.000	0.368	0.195	0.929	1.000	1.000	1.000	0.000	0.000	0.000	0.000	0.587	0.174	0.000	0.055	0.525	0.929	0.051	0.865	0.000	0.000	0.929	0.000	0.492	0.645	1.000	1.000	NaN	0.357	0.463	0.288	0.591	0.418	0.929	1.000	0.929	1.000	0.115	0.000	0.591	1.000	0.000	0.426	0.000	1.000	0.323	0.929	0.483	0.568	0.424	0.000	0.000	0.707	0.862	0.866
CWSU-9 - Issues (Tap Water) - N/A	0.000	0.013	0.120	0.045	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.027	0.000	0.122	0.000	0.000	0.000	0.035	0.000	0.035	0.039	0.000	0.477	0.000	0.000	0.000	0.000	0.072	0.000	0.000	0.160	0.025	0.000	0.000	0.000	0.000	0.000	0.031	0.065	0.000	0.361	0.263	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.176	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.080	0.000	0.042	0.063	0.000	0.049	0.117	0.023	0.250	0.000	0.045	0.087	0.000	0.082	0.000	0.135	0.060	0.155	1.000	0.000	0.154	0.114	0.000	0.057	0.081	0.066	0.000	0.115	1.000	0.497	0.000	0.057	0.091	0.203	0.068	0.000	0.258	0.227	0.394	0.271	0.427	0.000	0.141	0.119	0.227	0.068
CWSU-9 - Issues (Tap Water) - No	0.048	0.000	0.079	0.000	0.051	0.000	0.000	0.000	0.000	0.024	0.075	0.000	0.000	0.000	0.125	0.000	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.075	0.000	0.402	0.063	0.063	0.111	0.000	0.031	0.000	0.000	0.037	0.345	0.061	0.106	0.124	0.170	0.158	0.119	0.275	0.024	0.266	0.412	0.031	0.031	0.000	0.024	0.000	0.000	0.121	0.023	0.061	0.268	0.000	0.000	0.000	0.055	0.086	0.139	0.096	0.055	0.000	0.268	0.000	0.017	0.000	0.000	0.165	0.141	0.068	0.034	0.025	0.000	0.063	0.143	0.000	0.099	0.273	0.000	0.114	0.018	0.025	0.000	0.000	0.037	0.061	0.000	0.497	1.000	0.048	0.106	0.148	0.305	0.119	0.048	0.373	0.000	0.380	0.162	0.401	0.032	0.052	0.076	0.109	0.220
CWSU-9 - Issues (Tap Water) - Others	0.000	0.000	0.000	0.010	0.021	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.085	0.144	0.000	1.000	0.000	0.000	0.000	0.081	0.000	0.252	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.146	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.022	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.188	0.288	0.000	0.000	0.000	0.000	0.000	0.000	0.591	0.000	0.048	1.000	0.000	0.135	0.000	0.013	0.000	0.075	0.083	0.523	0.174	0.000	0.000	0.000	0.000	0.000	0.000
CWSU-9 - Issues (Tap Water) - Salinity	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.092	0.110	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.065	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.043	0.000	0.043	0.000	0.000	0.000	0.000	0.000	0.000	0.100	0.000	0.205	0.000	0.224	0.043	0.000	0.083	0.000	0.000	0.000	0.000	0.044	0.062	0.000	0.044	0.088	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.146	0.000	0.000	0.116	0.000	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.000	0.000	0.102	0.117	0.000	0.000	0.000	0.179	0.000	0.000	0.000	0.000	0.000	0.000	0.063	1.000	0.057	0.106	0.000	1.000	0.067	0.172	0.272	0.185	0.308	0.000	0.000	0.000	0.059	0.415	0.000	0.000	0.000	0.000
CWSU-9 - Issues (Tap Water) - Smell	0.000	0.000	0.000	0.047	0.000	0.000	0.000	0.000	0.050	0.075	0.071	0.065	0.000	0.135	0.000	0.064	0.000	0.015	0.130	0.131	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.246	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.170	0.000	0.067	0.372	0.000	0.280	0.103	0.206	0.000	0.000	0.000	0.000	0.000	0.188	0.000	0.157	0.057	0.000	0.000	0.000	0.000	0.000	0.000	0.031	0.000	0.092	0.065	0.035	0.000	0.087	0.107	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.086	0.161	0.039	0.000	0.022	0.000	0.000	0.000	0.000	0.091	0.148	0.135	0.067	1.000	0.242	0.405	0.356	0.408	0.123	0.150	0.212	0.210	0.000	0.000	0.000	0.012	0.000
CWSU-9 - Issues (Tap Water) - Supply interruption	0.000	0.000	0.000	0.000	0.000	0.000	0.032	0.054	0.010	0.073	0.071	0.087	0.000	0.000	0.081	0.000	0.000	0.055	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.127	0.199	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.119	0.000	0.128	0.000	0.237	0.018	0.000	0.164	0.000	0.000	0.000	0.000	0.000	0.080	0.000	0.056	0.000	0.181	0.093	0.000	0.067	0.000	0.116	0.000	0.202	0.000	0.144	0.337	0.154	0.000	0.127	0.068	0.018	0.118	0.000	0.226	0.047	0.036	0.031	0.000	0.104	0.133	0.151	0.182	0.000	0.000	0.000	0.000	0.022	0.000	0.091	0.076	0.000	0.000	0.426	0.203	0.305	0.000	0.172	0.242	1.000	0.148	0.035	0.761	0.101	0.138	0.238	0.151	0.186	0.000	0.000	0.000	0.220
CWSU-9 - Issues (Tap Water) - Taste	0.000	0.000	0.000	0.000	0.019	0.000	0.000	0.000	0.082	0.102	0.000	0.000	0.000	0.035	0.000	0.000	0.000	0.000	0.036	0.000	0.019	0.000	1.000	0.049	0.000	0.000	0.000	1.000	0.180	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.066	0.000	0.094	0.158	0.000	0.283	0.136	0.099	0.000	0.000	0.000	0.000	0.033	0.052	0.000	0.033	0.077	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.124	0.048	0.000	0.000	0.119	0.049	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.145	0.091	0.000	0.000	0.000	0.000	0.163	0.000	0.000	0.038	0.000	0.064	0.000	0.000	0.068	0.119	0.013	0.272	0.405	0.148	1.000	0.167	0.306	0.066	0.000	0.175	0.244	0.000	0.000	0.000	0.112	0.000
CWSU-9 - Issues (Tap Water) - Turbidity	0.000	0.030	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.013	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.020	0.089	0.000	0.029	0.106	0.000	0.110	0.000	0.000	0.058	0.000	0.048	0.000	0.094	0.380	0.000	0.327	0.146	0.121	0.000	0.000	0.076	0.000	0.000	0.000	0.000	0.000	0.066	0.000	0.043	0.000	0.079	0.044	0.000	0.068	0.000	0.045	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.153	0.138	0.000	0.000	0.116	0.000	0.000	0.000	1.000	0.000	0.048	0.000	0.185	0.356	0.035	0.167	1.000	0.189	0.000	0.000	0.165	0.289	0.232	0.000	0.000	0.000	0.000
CWSU-9 - Issues (Tap Water) - Yes	0.000	0.000	0.025	0.027	0.000	0.000	0.000	0.022	0.092	0.134	0.079	0.099	0.000	0.054	0.054	0.000	0.000	0.000	0.117	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.208	0.000	0.011	0.000	0.000	0.047	0.000	0.000	0.000	0.210	0.028	0.123	0.118	0.256	0.126	0.000	0.245	0.000	0.000	0.046	0.000	0.000	0.051	0.000	0.018	0.000	0.121	0.050	0.000	0.051	0.000	0.086	0.000	0.192	0.000	0.116	0.314	0.109	0.129	0.182	0.016	0.000	0.114	0.039	0.213	0.071	0.000	0.000	0.000	0.084	0.148	0.100	0.132	0.000	0.000	0.000	0.000	0.000	0.000	0.083	0.000	0.000	0.000	0.323	0.258	0.373	0.075	0.308	0.408	0.761	0.306	0.189	1.000	0.064	0.158	0.150	0.184	0.000	0.000	0.000	0.000	0.000
Classification	0.055	0.414	0.101	0.000	0.000	0.000	0.039	0.070	0.082	0.117	0.000	0.000	0.000	0.000	0.000	0.078	0.000	0.000	0.040	1.000	1.000	1.000	1.000	0.103	0.058	0.043	0.102	0.645	0.810	0.000	0.174	0.242	0.029	0.122	0.000	0.000	0.000	0.000	0.062	0.000	0.125	0.000	0.134	0.050	0.102	0.000	0.165	0.028	0.000	0.000	0.000	0.033	0.000	0.049	0.000	0.000	0.000	0.000	0.038	0.000	0.000	0.000	0.024	0.087	0.020	0.000	0.000	0.000	0.105	0.000	0.172	0.033	0.121	0.000	0.159	0.000	0.000	0.000	0.000	0.444	1.000	0.188	0.000	0.152	0.281	0.248	0.076	0.099	0.091	0.081	0.077	0.929	0.227	0.000	0.083	0.000	0.123	0.101	0.066	0.000	0.064	1.000	0.533	0.856	0.518	1.000	1.000	1.000	0.990	1.000
GI - Business Location/Address	0.190	0.440	0.131	0.482	0.485	0.000	0.304	0.362	0.290	0.276	0.209	0.272	0.290	0.000	0.341	0.319	0.788	0.369	0.271	0.368	0.438	0.100	0.367	0.076	0.484	0.000	0.308	0.536	0.818	0.505	0.361	0.256	0.331	0.449	0.000	0.000	0.324	0.347	0.182	0.306	0.276	0.287	0.490	0.672	0.316	0.000	0.525	0.508	0.517	0.000	0.000	0.000	0.000	0.960	0.257	0.000	0.290	0.321	0.420	0.000	0.000	0.257	0.479	0.377	0.132	0.000	0.000	0.540	0.466	0.227	0.185	0.000	0.000	0.239	0.300	0.185	0.000	0.131	0.343	0.340	0.323	0.000	0.000	0.182	0.372	0.395	0.216	0.169	0.000	0.222	0.153	0.483	0.394	0.380	0.523	0.000	0.150	0.138	0.000	0.000	0.158	0.533	1.000	0.619	0.663	0.000	0.000	0.000	0.375	0.290
GI - Date	0.116	0.379	0.201	0.189	0.167	0.000	0.126	0.143	0.000	0.068	0.000	0.102	0.092	0.000	0.225	0.207	0.173	0.175	0.148	0.076	0.070	0.207	0.377	0.000	0.089	0.000	0.227	0.410	0.514	0.217	0.199	0.205	0.046	0.211	0.000	0.076	0.116	0.155	0.179	0.145	0.204	0.000	0.184	0.073	0.133	0.023	0.127	0.000	0.000	0.000	0.000	0.000	0.000	0.108	0.000	0.069	0.131	0.119	0.000	0.000	0.213	0.135	0.165	0.170	0.122	0.127	0.195	0.256	0.218	0.022	0.138	0.000	0.167	0.104	0.235	0.153	0.000	0.000	0.140	0.200	0.000	0.000	0.000	0.070	0.107	0.244	0.000	0.195	0.000	0.054	0.000	0.568	0.271	0.162	0.174	0.000	0.212	0.238	0.175	0.165	0.150	0.856	0.619	1.000	0.385	0.163	0.000	0.000	0.320	0.283
GI - Interviewer	0.258	0.361	0.085	0.430	0.474	0.174	0.294	0.214	0.326	0.322	0.292	0.290	0.370	0.227	0.409	0.357	0.792	0.354	0.273	0.000	0.509	0.180	0.408	0.000	0.000	0.000	0.354	0.227	0.774	0.548	0.311	0.252	0.155	0.309	0.000	0.000	0.345	0.270	0.072	0.304	0.180	0.000	0.406	0.364	0.109	0.000	0.504	0.505	0.000	0.000	0.000	0.000	0.000	0.000	0.198	0.000	0.296	0.298	0.338	0.000	0.000	0.000	0.403	0.357	0.171	0.195	0.213	0.546	0.496	0.350	0.258	0.296	0.183	0.349	0.229	0.219	0.000	0.256	0.223	0.305	0.000	0.000	0.000	0.273	0.293	0.352	0.000	0.156	0.043	0.000	0.056	0.424	0.427	0.401	0.000	0.059	0.210	0.151	0.244	0.289	0.184	0.518	0.663	0.385	1.000	0.000	0.032	0.107	0.292	0.226
GI - Members	0.000	0.170	0.000	0.000	0.183	0.311	0.000	0.000	0.304	0.265	0.000	0.095	0.000	0.000	0.130	0.000	0.000	0.000	0.099	0.075	0.012	0.000	0.000	1.000	1.000	1.000	0.000	0.000	0.079	0.000	0.000	0.069	0.000	0.167	1.000	1.000	0.000	0.118	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.219	0.000	0.000	0.000	0.415	0.415	1.000	0.415	0.241	0.000	0.000	0.000	0.181	0.000	1.000	1.000	0.317	0.163	0.226	0.126	0.000	0.000	0.000	0.186	0.000	0.141	1.000	0.000	0.219	0.127	0.180	0.000	0.000	0.220	-0.013	NaN	0.298	NaN	0.000	0.000	0.163	1.000	0.224	0.211	0.000	0.000	0.000	0.000	0.032	0.000	0.415	0.000	0.186	0.000	0.232	0.000	1.000	0.000	0.163	0.000	1.000	0.000	0.000	1.000	0.000
GI - Operating Hours - End	0.000	0.127	0.000	0.073	0.000	0.000	0.000	0.000	0.099	0.075	0.000	0.056	0.000	0.176	0.000	0.150	0.000	0.432	0.031	0.000	0.000	0.000	0.000	0.000	0.000	0.167	0.000	0.000	0.135	0.000	0.000	0.082	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.201	0.000	0.268	0.103	0.000	0.000	0.000	0.000	0.000	0.000	0.288	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.106	0.221	0.122	0.135	0.000	0.000	0.000	0.187	0.038	0.086	0.000	0.183	0.154	0.000	0.084	0.000	0.145	0.032	0.195	0.132	0.101	0.000	0.000	0.000	0.120	0.000	0.182	0.000	0.000	0.237	0.000	0.141	0.052	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.032	0.000	1.000	0.640	0.063	0.000
GI - Operating Hours - Start	0.000	0.072	0.168	0.000	0.000	0.000	0.052	0.000	0.000	0.000	0.089	0.135	0.023	0.193	0.000	0.036	0.000	0.425	0.184	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.140	0.000	0.145	0.191	0.000	0.000	0.000	0.000	0.124	0.000	0.000	0.000	0.000	0.095	0.000	0.000	0.000	0.000	0.139	0.180	0.000	0.000	0.000	0.170	0.000	1.000	0.000	0.000	0.132	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.179	0.092	0.115	0.000	0.138	0.000	0.000	0.000	0.000	0.068	0.000	0.043	0.000	0.000	0.499	0.000	0.097	0.097	0.000	0.139	0.000	0.000	0.123	0.707	0.119	0.076	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.107	0.000	0.640	1.000	0.085	0.000
GI - Remarks (Small, Medium, Large, Residential)	0.000	0.462	0.104	0.236	0.222	0.000	0.067	0.152	0.155	0.160	0.000	0.000	0.132	0.000	0.000	0.177	0.000	0.136	0.000	1.000	1.000	1.000	1.000	0.197	0.361	0.315	0.216	0.553	0.449	0.000	0.230	0.414	0.371	0.190	0.268	0.000	0.045	0.155	0.000	0.073	0.210	0.116	0.090	0.243	0.127	0.000	0.237	0.193	0.000	0.000	0.000	0.106	0.000	0.000	0.000	0.000	0.000	0.124	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.233	0.262	0.143	0.264	0.063	0.149	0.203	0.198	0.066	0.000	0.000	0.000	0.245	0.304	0.344	0.331	0.125	0.091	0.290	0.079	0.223	0.407	0.263	0.312	0.862	0.227	0.109	0.000	0.000	0.012	0.000	0.112	0.000	0.000	0.990	0.375	0.320	0.292	1.000	0.063	0.085	1.000	0.427
GI - Type of Business	0.282	0.212	0.140	0.136	0.168	0.000	0.149	0.275	0.223	0.227	0.000	0.000	0.205	0.000	0.000	0.269	0.111	0.000	0.037	0.000	0.000	0.000	0.000	0.023	0.438	0.000	0.166	0.532	0.272	0.250	0.370	0.560	0.417	0.094	0.000	0.641	0.118	0.176	0.058	0.715	0.000	0.000	0.000	0.132	0.073	0.000	0.053	0.088	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.183	0.192	0.293	0.188	0.399	0.687	0.000	0.333	0.391	0.000	0.193	0.000	0.114	0.133	0.158	0.224	0.000	0.000	0.266	0.266	0.123	0.000	0.059	0.174	0.020	0.355	0.360	0.000	0.133	0.121	0.000	0.177	0.000	0.354	0.113	0.000	0.866	0.068	0.220	0.000	0.000	0.000	0.220	0.000	0.000	0.000	1.000	0.290	0.283	0.226	0.000	0.000	0.000	0.427	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	GI - Code	Barangay	Classification	GI - Date	GI - Interviewer	GI - Remarks (Small, Medium, Large, Residential)	GI - Business Name/Residential Name/Contact number	GI - Business Location/Address	GI - Type of Business	GI - No. of Employees	GI - Operating Hours - Start	GI - Operating Hours - End	CWSU-1 - Usage - Specify	GI - Members	CWSU-1 - Usage - Drinking	CWSU-1 - Usage - Food preparation	CWSU-1 - Usage - Cleaning & Sanitation	CWSU-3 - Current Sources - Deep Well (owned)	CWSU-3 - Current Sources - Truck Delivery Services (5 m3)	CWSU-3 - Current Sources - (If others, please specify)	CWSU-4 - Primary Drinking Source - Bottled water (5 gallons)	CWSU-4 - Primary Drinking Source - (If others, please specify)	CWSU-4 - Primary Drinking Source - gals	CWSU-5 - Ave Demand (in cbm)	CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)	CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)	CWSU-6 - Actual Use (m3 / gal) - Truck Delivery Services (5 m3)	CWSU-6 - Actual Use (m3 / gal) - Bottled water (5 gallons)	CWSU-6 - Actual Use (m3 / gal) - Others (gallons)	CWSU-7 - Peak Month - Start	CWSU-7 - Peak Month - End	CWSU-8 - Monthly Costs - PhP 1,000 - PhP 3,000	CWSU-8 - Monthly Costs - Water Bottles	CWSU-8 - Monthly Costs - Truck Delivery	CWSU-8 - Monthly Costs - If others, input here	CWSU-9 - Issues (Tap Water) - Yes	CWSU-9 - Issues (Tap Water) - No	CWSU-9 - Issues (Tap Water) - N/A	CWSU-9 - Issues (Tap Water) - Costs	CWSU-9 - Issues (Tap Water) - Others	CWSU-9 - Issues (Tap Water) - If others, input here	CWSU-10 - Issues (Deep Well) - Yes	CWSU-10 - Issues (Deep Well) - No	CWSU-10 - Issues (Deep Well) - Supply interruption	CWSU-10 - Issues (Deep Well) - Others	CWSU-10 - Issues (Deep Well) - If others, input here	CWSU-11 - Issues (Truck Water) - No	CWSU-11 - Issues (Truck Water) - N/A	CWSU-11 - Issues (Truck Water) - Costs	CWSU-11 - Issues (Truck Water) - If others, input here	CWSU-12 - Issues (Bottled Water) - No	CWSU-12 - Issues (Bottled Water) - N/A	CWSU-12 - Issues (Bottled Water) - If yes, select all that apply	CWSU-12 - Issues (Bottled Water) - Others	CWSU-12 - Issues (Bottled Water) - If others, input here	CWSU-13 - Interruptions (days) - We have continuous water supply everyday	CWSU-13 - Interruptions (days) - Twice a week	CWSU-13 - Interruptions (days) - Others	CWSU-13 - Interruptions (days) - How many hours per day do you experience water interruption?	AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness	AWTP-14 - Factors affecting Alt Sources - Reliability (consistent supply)	AWTP-14 - Factors affecting Alt Sources - Water Quality (Clean and safe)	AWTP-14 - Factors affecting Alt Sources - If others, input here	AWTP-15 - Desalination Awareness - Yes	AWTP-15 - Desalination Awareness - No	AWTP-16 - Desalinated Willingness - Yes	AWTP-17 - Desalinated Premium Pay - Yes	AWTP-17 - Desalinated Premium Pay - Depends on the cost difference	AWTP-17 - Desalinated Premium Pay - If yes, in what payment structure	AWTP-17 - Desalinated Premium Pay - Tiered pricing	AWTP-17 - Desalinated Premium Pay - Pay per use	AWTP-17 - Desalinated Premium Pay - Seasonal	AWTP - Max Price - Commercial - 160	AWTP - Max Price - Commercial - 100	AWTP-19 - Max Price - Commercial - Others	AWTP-19 - Max Price - Residential - 50	AWTP-19 - Max Price - Residential - 80	AWTP-19 - Max Price - Residential - 100	AWTP-19 - Max Price - Residential - Others	AWTP-20 - Budget - < 3000	AWTP-20 - Budget - Others	AWTP-21 - Concerns
0	BI-1R	BARANGAY I	Residential	07/06/2025	Mary Josie Fontanillla	Residential	Ross Carino	Zone 5 Lubrin Heights	NaN	NaN	NaN	NaN	NaN	6.0	0	1	1	0	0.0	Pump Well	1	NaN	20.00	NaN	NaN	NaN	NaN	NaN	NaN	Feb	June	0	600	NaN	NaN	0	0	1	FALSE	1	Not enough water in well	1	0	1	0	NaN	1	0	0	NaN	1	0	NaN	0	NaN	0	0	NaN	Only Summer	0	0	1	NaN	1	0	1	0	1	NaN	0	1	0	0	0	NaN	0.0	0.0	0.0	NaN	0	600	NaN
1	BI-2R	BARANGAY I	Residential	07/06/2025	Mary Josie Fontanillla	Residential	Ram Garcia	NaN	NaN	NaN	NaN	NaN	NaN	5.0	0	1	1	1	1.0	NaN	1	NaN	24.00	NaN	NaN	NaN	15.0	NaN	NaN	March	June	0	180	2800	NaN	0	1	0	FALSE	0	NaN	1	0	0	1	Nauubos ang tubig sa poso	0	1	1	NaN	1	0	NaN	1	Malinis	0	1	NaN	natyanan	1	1	1	NaN	1	0	1	1	0	NaN	1	0	1	0	1	NaN	0.0	0.0	1.0	NaN	1	NaN	NaN
2	BI-3R	BARANGAY I	Residential	07/06/2025	Mary Josie Fontanillla	Residential	Sharie Jane Abando	NaN	NaN	NaN	NaN	NaN	NaN	2.0	0	1	1	1	0.0	NaN	1	NaN	12.00	NaN	NaN	NaN	NaN	NaN	Sharing	March	June	0	360	NaN	NaN	0	0	1	FALSE	1	Walang gripo	0	1	0	1	Tag-init lang	1	0	0	NaN	1	0	NaN	0	NaN	0	0	NaN	Tag-init lang	1	1	1	NaN	0	1	1	1	1	NaN	0	0	0	1	0	NaN	0.0	1.0	0.0	NaN	0	NaN	NaN
3	BI-4R	BARANGAY I	Residential	07/06/2025	Mary Josie Fontanillla	Residential	Malidale Muna	NaN	NaN	NaN	NaN	NaN	NaN	5.0	0	1	1	1	0.0	NaN	1	NaN	6.63	NaN	NaN	NaN	NaN	NaN	Sharing	March	June	0	120	NaN	NaN	0	1	0	FALSE	0	NaN	0	1	0	0	NaN	1	0	0	NaN	1	0	NaN	0	NaN	1	0	NaN	NaN	1	1	0	NaN	1	0	1	0	0	NaN	0	0	0	0	0	NaN	0.0	0.0	0.0	NaN	0	500	Mabuti
4	BI-5R	BARANGAY I	Residential	07/06/2025	Mary Josie Fontanillla	Residential	Lovely Colet	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	1	1	1	0.0	Sharing	1	NaN	12.00	NaN	NaN	NaN	NaN	NaN	Sharing	March	June	0	360	NaN	NaN	0	1	0	FALSE	0	NaN	0	1	0	0	NaN	1	0	0	NaN	1	0	NaN	0	NaN	0	0	NaN	Wala	1	1	1	NaN	1	0	1	0	1	NaN	0	0	0	1	0	NaN	1.0	0.0	0.0	NaN	0	NaN	NaN
5	BI-6R	BARANGAY I	Residential	07/06/2025	Mary Josie Fontanillla	Residential	Valencia Jay-r	NaN	NaN	NaN	NaN	NaN	NaN	5.0	1	1	1	0	1.0	NaN	1	NaN	6.63	NaN	NaN	NaN	NaN	NaN	Sharing	Feb	June	1	NaN	NaN	NaN	0	1	0	FALSE	0	NaN	0	1	0	0	NaN	1	0	0	NaN	1	0	NaN	0	NaN	0	0	NaN	Wala	1	1	1	NaN	1	0	1	1	1	NaN	0	1	0	0	1	NaN	0.0	0.0	1.0	NaN	1	NaN	NaN
6	BI-7R	BARANGAY I	Residential	08/06/2025	Mary Josie Fontanillla	Residential	Mila ANcheta	NaN	NaN	NaN	NaN	NaN	NaN	4.0	1	1	1	0	1.0	NaN	1	NaN	12.70	NaN	NaN	NaN	NaN	NaN	NaN	March	June	1	NaN	1400	NaN	1	0	0	FALSE	0	NaN	1	0	0	1	By Schedule	1	0	0	NaN	0	1	NaN	0	NaN	0	1	NaN	NaN	0	0	1	NaN	1	0	1	1	0	NaN	0	1	0	1	0	NaN	1.0	0.0	0.0	NaN	0	500	NaN
7	BI-8R	BARANGAY I	Residential	08/06/2025	Mary Josie Fontanillla	Residential	Alejo Ducusin	NaN	NaN	NaN	NaN	NaN	NaN	6.0	1	1	1	1	0.0	NaN	1	NaN	8.00	NaN	NaN	NaN	NaN	NaN	NaN	March	March	0	240	NaN	NaN	0	1	0	FALSE	0	NaN	0	1	0	0	NaN	0	1	0	NaN	1	0	NaN	0	NaN	0	0	NaN	NaN	0	0	1	NaN	0	1	1	0	1	NaN	0	0	0	0	0	NaN	0.0	0.0	0.0	NaN	0	NaN	Free water delivery in summer
8	BI-9R	BARANGAY I	Residential	08/06/2025	Mary Josie Fontanillla	Residential	Manuel Cauga	NaN	NaN	NaN	NaN	NaN	NaN	4.0	1	1	1	1	0.0	NaN	0	NaN	16.00	NaN	NaN	NaN	NaN	NaN	NaN	March	May	0	480	NaN	NaN	0	1	0	FALSE	0	NaN	0	1	0	0	NaN	1	0	0	NaN	1	0	NaN	0	NaN	1	0	NaN	NaN	0	0	1	NaN	1	0	1	0	1	NaN	0	0	0	0	1	NaN	0.0	0.0	0.0	NaN	0	NaN	Not sure kasi may laman pa ang pump well
9	BI-10R	BARANGAY I	Residential	08/06/2025	Mary Josie Fontanillla	Residential	Larry Canono	Brgy I	NaN	NaN	NaN	NaN	NaN	4.0	1	1	1	1	0.0	NaN	1	NaN	12.00	NaN	NaN	NaN	NaN	NaN	NaN	March	June	0	360	NaN	NaN	0	1	0	FALSE	0	NaN	0	1	0	0	NaN	0	1	0	NaN	1	0	NaN	0	NaN	1	0	NaN	NaN	0	1	1	NaN	1	0	1	0	1	NaN	0	0	0	0	1	NaN	0.0	0.0	1.0	NaN	0	Depends on everyday consume	Kung maganda, okay.

	GI - Code	Barangay	Classification	GI - Date	GI - Interviewer	GI - Remarks (Small, Medium, Large, Residential)	GI - Business Name/Residential Name/Contact number	GI - Business Location/Address	GI - Type of Business	GI - No. of Employees	GI - Operating Hours - Start	GI - Operating Hours - End	CWSU-1 - Usage - Specify	GI - Members	CWSU-1 - Usage - Drinking	CWSU-1 - Usage - Food preparation	CWSU-1 - Usage - Cleaning & Sanitation	CWSU-1 - Usage - Manufacturing/Production	CWSU-1 - Usage - Landscaping/Irrigation	CWSU-2 - Treatment	CWSU-3 - Current Sources - Tap Water (Water District etc.)	CWSU-3 - Current Sources - Deep Well (owned)	CWSU-3 - Current Sources - Truck Delivery Services (5 m3)	CWSU-3 - Current Sources - Bottled water (5 gallons)	CWSU-3 - Current Sources - Others	CWSU-3 - Current Sources - (If others, please specify)	CWSU-4 - Primary Drinking Source - Tap Water (Water District etc.)	CWSU-4 - Primary Drinking Source - Deep Well (owned)	CWSU-4 - Primary Drinking Source - Truck Delivery Services (5 m3)	CWSU-4 - Primary Drinking Source - Bottled water (5 gallons)	CWSU-4 - Primary Drinking Source - Others	CWSU-4 - Primary Drinking Source - (If others, please specify)	CWSU-4 - Primary Drinking Source - gals	CWSU-5 - Ave Demand (in cbm)	CWSU-6 - Actual Use (m3 / gal) - Tap Water (Water District etc.)	CWSU-6 - Actual Use (m3 / gal) - Deep Well (owned)	CWSU-6 - Actual Use (m3 / gal) - Truck Delivery Services (5 m3)	CWSU-6 - Actual Use (m3 / gal) - Bottled water (5 gallons)	CWSU-6 - Actual Use (m3 / gal) - Others (gallons)	CWSU-7 - Peak Month - Start	CWSU-7 - Peak Month - End	CWSU-8 - Monthly Costs - Less than PhP 1,000	CWSU-8 - Monthly Costs - PhP 1,000 - PhP 3,000	CWSU-8 - Monthly Costs - PhP 3,000 - PhP 5,000	CWSU-8 - Monthly Costs - Water Bottles	CWSU-8 - Monthly Costs - Truck Delivery	CWSU-8 - Monthly Costs - Others:	CWSU-8 - Monthly Costs - If others, input here	CWSU-9 - Issues (Tap Water) - Yes	CWSU-9 - Issues (Tap Water) - No	CWSU-9 - Issues (Tap Water) - N/A	CWSU-9 - Issues (Tap Water) - Supply interruption	CWSU-9 - Issues (Tap Water) - Salinity	CWSU-9 - Issues (Tap Water) - If others, input here	CWSU-10 - Issues (Deep Well) - Yes	CWSU-10 - Issues (Deep Well) - No	CWSU-10 - Issues (Deep Well) - N/A	CWSU-10 - Issues (Deep Well) - Supply interruption	CWSU-10 - Issues (Deep Well) - Salinity	CWSU-10 - Issues (Deep Well) - Taste	CWSU-10 - Issues (Deep Well) - Smell	CWSU-10 - Issues (Deep Well) - Others	CWSU-10 - Issues (Deep Well) - If others, input here	CWSU-11 - Issues (Truck Water) - No	CWSU-11 - Issues (Truck Water) - N/A	CWSU-11 - Issues (Truck Water) - If others, input here	CWSU-12 - Issues (Bottled Water) - Yes	CWSU-12 - Issues (Bottled Water) - No	CWSU-12 - Issues (Bottled Water) - N/A	CWSU-12 - Issues (Bottled Water) - If yes, select all that apply	CWSU-12 - Issues (Bottled Water) - Costs	CWSU-12 - Issues (Bottled Water) - If others, input here	CWSU-13 - Interruptions (days) - We have continuous water supply everyday	CWSU-13 - Interruptions (days) - Once a week	CWSU-13 - Interruptions (days) - Others	CWSU-13 - Interruptions (days) - How many hours per day do you experience water interruption?	AWTP-14 - Factors affecting Alt Sources - Cost-effectiveness	AWTP-14 - Factors affecting Alt Sources - Reliability (consistent supply)	AWTP-14 - Factors affecting Alt Sources - Water Quality (Clean and safe)	AWTP-14 - Factors affecting Alt Sources - Costumer service and maintenance support	AWTP-14 - Factors affecting Alt Sources - If others, input here	AWTP-15 - Desalination Awareness - Yes	AWTP-15 - Desalination Awareness - No	AWTP-16 - Desalinated Willingness - Yes	AWTP-16 - Desalinated Willingness - No	AWTP-17 - Desalinated Premium Pay - Yes	AWTP-17 - Desalinated Premium Pay - No	AWTP-17 - Desalinated Premium Pay - Depends on the cost difference	AWTP-17 - Desalinated Premium Pay - If yes, in what payment structure	AWTP - Max Price - Commercial - 160	AWTP - Max Price - Commercial - 200	AWTP-19 - Max Price - Commercial - Others	AWTP-19 - Max Price - Residential - 50	AWTP-19 - Max Price - Residential - 80	AWTP-19 - Max Price - Residential - 100	AWTP-19 - Max Price - Residential - Others	AWTP-20 - Budget - < 3000	AWTP-20 - Budget - Others	AWTP-21 - Concerns
490	TAN-7C	TANQUI	Commercial	06/06/2025	Jeanette Corpuz	Small	BURRITO FOOD HUB	Tanqui	Restaurant / Food Service	3	8:00	17:00	NaN	NaN	0	1	1	1	1.0	1	0	1	0.0	1	0.0	NaN	0	0	0	1	0.0	NaN	60.0	NaN	NaN	NaN	60	65	NaN	NaN	NaN	0	0	0	1200	NaN	1	1000	1	0	0	0	1	NaN	1	0	0	1	1	1	0	0	NaN	0	1	NaN	0	1	0	NaN	0	NaN	0	1	NaN	NaN	1	1	1	0	NaN	1	0	1	0	1	0	0	NaN	1	0	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN
491	TAN-8C	TANQUI	Commercial	06/06/2025	Jeanette Corpuz	Small	R&R EATERY	Tanqui	Restaurant / Food Service	7	8:00	17:00	NaN	NaN	1	1	1	1	0.0	0	0	0	1.0	0	0.0	NaN	0	0	1	0	0.0	NaN	91.5	24.00000	NaN	NaN	NaN	NaN	200	NaN	NaN	0	0	1	NaN	NaN	0	NaN	0	0	0	0	0	NaN	0	1	0	0	0	0	0	0	NaN	0	1	NaN	0	1	0	NaN	0	NaN	1	0	NaN	NaN	1	0	0	0	NaN	0	1	0	1	0	0	1	NaN	0	1	NaN	NaN	NaN	NaN	NaN	1	NaN	Decrease sa bill
492	TAN-9C	TANQUI	Commercial	06/06/2025	Jeanette Corpuz	Large	AQUAERUM WATER REFILLING STATION	Tanqui	Retail	4	8:00	17:00	NaN	NaN	1	0	1	0	0.0	1	1	1	0.0	1	0.0	NaN	1	1	0	1	0.0	NaN	91.5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	NaN	NaN	0	NaN	0	1	0	0	0	NaN	0	1	0	0	0	0	0	0	NaN	1	0	NaN	0	1	0	NaN	0	NaN	0	0	NaN	NaN	1	1	1	1	NaN	0	1	1	0	0	1	0	NaN	0	0	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN
493	TAN-10C	TANQUI	Commercial	06/06/2025	Jeanette Corpuz	Small	Masarap John Canteen	Tanqui	NaN	3	8:00	17:00	NaN	NaN	0	1	1	0	0.0	1	0	1	0.0	0	0.0	NaN	0	1	0	0	0.0	NaN	91.5	NaN	NaN	NaN	NaN	NaN	NaN	October	December	0	0	1	NaN	NaN	0	NaN	0	0	1	0	0	NaN	1	0	0	0	0	0	0	1	konti	0	1	NaN	0	0	1	NaN	0	NaN	1	0	NaN	NaN	0	1	0	0	NaN	1	0	1	0	0	1	0	NaN	0	0	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN
494	TAN-11C	TANQUI	Commercial	06/06/2025	Jeanette Corpuz	Medium	EZ POINT RESTO BAR/ GERRY'S RESTO BAR	Tanqui	Restaurant / Food Service	4	0:00	23:59	NaN	NaN	1	1	1	1	0.0	1	1	0	1.0	1	0.0	NaN	1	0	0	0	0.0	NaN	91.5	1.70325	NaN	NaN	NaN	15	NaN	NaN	NaN	0	1	0	NaN	NaN	0	NaN	1	0	0	0	0	NaN	0	1	0	0	0	0	0	0	NaN	1	0	NaN	0	1	0	NaN	0	NaN	0	0	NaN	nawawala tapos meron kinabukasan	1	1	1	1	NaN	1	0	0	1	0	1	0	NaN	1	0	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN
495	TAN-12C	TANQUI	Commercial	06/09/2025	Jeanette Corpuz	Small	LABHAN KITA LAUNDROMAT	Tanqui	NaN	5	8:00	17:00	NaN	NaN	1	1	1	0	0.0	1	0	1	0.0	0	0.0	NaN	0	1	0	0	0.0	NaN	91.5	NaN	NaN	NaN	NaN	NaN	NaN	March	May	1	0	0	NaN	NaN	0	NaN	0	1	0	0	0	NaN	0	1	0	0	0	0	0	0	NaN	1	0	NaN	0	1	0	NaN	0	NaN	0	0	NaN	NaN	1	1	1	0	NaN	0	1	1	0	0	0	0	NaN	0	0	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN
496	TAN-13C	TANQUI	Commercial	06/09/2025	Jeanette Corpuz	Large	NORTH CENTRAL SCHOOL	Tanqui	NaN	NaN	8:00	17:00	NaN	NaN	1	1	1	0	0.0	1	0	1	0.0	1	0.0	NaN	0	0	0	0	1.0	water refilling	91.5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	NaN	NaN	0	NaN	0	0	0	0	0	NaN	1	0	0	0	0	0	1	0	NaN	0	1	NaN	1	0	0	NaN	1	NaN	0	1	NaN	NaN	0	0	0	1	NaN	0	1	1	0	0	0	1	NaN	0	0	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN
497	TAN-14C	TANQUI	Commercial	06/08/2025	Jeanette Corpuz	Large	MDL LAUDNRY SHOP & WATER STATION	Tanqui	Retail	2	8:00	17:00	NaN	NaN	1	1	1	1	1.0	1	0	1	0.0	0	0.0	NaN	1	1	0	1	0.0	NaN	91.5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	NaN	NaN	0	NaN	0	1	0	0	0	NaN	0	1	0	0	0	0	0	0	NaN	1	0	NaN	0	1	0	NaN	0	NaN	0	0	NaN	NaN	1	1	1	1	NaN	0	1	0	1	0	1	0	NaN	0	0	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN
498	TAN-15C	TANQUI	Commercial	06/08/2025	Jeanette Corpuz	NaN	MUCHAS GRACIAS CATERING SERVICES	Tanqui	Restaurant / Food Service	1	8:00	17:00	NaN	NaN	1	1	1	0	0.0	0	1	0	0.0	1	1.0	NaN	0	0	0	1	1.0	Purified	91.5	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	NaN	NaN	0	NaN	0	1	0	0	0	NaN	0	0	1	0	0	0	0	0	NaN	0	1	NaN	0	1	0	NaN	0	NaN	1	0	NaN	NaN	0	0	1	0	NaN	0	1	1	0	0	0	1	NaN	0	0	NaN	NaN	NaN	NaN	NaN	0	NaN	NaN
499	TAN-16C	TANQUI	Commercial	06/09/2025	Jeanette Corpuz	Large	SAN FERNANDO SOUTH CENTRAL INTEGRATED SCHOOL	Tanqui	College / University	95	8:00	17:00	NaN	NaN	1	1	1	0	0.0	0	1	1	0.0	0	0.0	NaN	1	0	0	0	0.0	NaN	91.5	3.40650	NaN	NaN	NaN	30	NaN	March	April	0	0	1	NaN	NaN	0	NaN	1	0	0	1	0	NaN	1	0	0	1	0	1	0	0	NaN	1	0	NaN	0	1	0	NaN	0	NaN	1	0	NaN	NaN	1	1	1	0	NaN	1	0	1	0	0	0	1	NaN	1	0	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)